Search / com.knitli/codeweaver
protogridL0· runs locallySemantic code search built for AI agents. Hybrid, AST-aware, context for 166 languages.
v0.1.0-alpha.3 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver==0.1.0a3",
"server",
"--project",
"--config",
"--host",
"127.0.0.1",
"--port",
"9328",
"--transport",
"streamable-http",
"--verbose",
"--debug"
],
"env": {
"CODEWEAVER_DEBUG": "false",
"CODEWEAVER_EMBEDDING_API_KEY": "${CODEWEAVER_EMBEDDING_API_KEY}",
"CODEWEAVER_EMBEDDING_MODEL": "voyage-code-3",
"CODEWEAVER_EMBEDDING_PROVIDER": "voyage",
"CODEWEAVER_HOST": "localhost",
"CODEWEAVER_LOG_LEVEL": "WARNING",
"CODEWEAVER_MCP_PORT": "9328",
"CODEWEAVER_PORT": "9329",
"CODEWEAVER_RERANKING_API_KEY": "${CODEWEAVER_RERANKING_API_KEY}",
"CODEWEAVER_RERANKING_MODEL": "rerank-2.5",
"CODEWEAVER_RERANKING_PROVIDER": "voyage",
"CODEWEAVER_SPARSE_EMBEDDING_MODEL": "prithivida/Splade_pp_en_v1",
"CODEWEAVER_SPARSE_EMBEDDING_PROVIDER": "fastembed",
"CODEWEAVER_VECTOR_STORE_API_KEY": "${CODEWEAVER_VECTOR_STORE_API_KEY}",
"CODEWEAVER_VECTOR_STORE_PORT": "6333",
"CODEWEAVER_VECTOR_STORE_PROVIDER": "qdrant",
"CODEWEAVER_VECTOR_STORE_URL": "http://localhost",
"CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY": "false",
"CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY": "false",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"AI_GATEWAY_API_KEY": "${AI_GATEWAY_API_KEY}",
"AWS_SECRET_ACCESS_KEY": "${AWS_SECRET_ACCESS_KEY}",
"AZURE_COHERE_API_KEY": "${AZURE_COHERE_API_KEY}",
"AZURE_OPENAI_API_KEY": "${AZURE_OPENAI_API_KEY}",
"DEEPSEEK_API_KEY": "${DEEPSEEK_API_KEY}",
"INFERENCE_KEY": "${INFERENCE_KEY}",
"QDRANT__SERVICE__API_KEY": "${QDRANT__SERVICE__API_KEY}",
"TOGETHER_API_KEY": "${TOGETHER_API_KEY}",
"VERCEL_OIDC_TOKEN": "${VERCEL_OIDC_TOKEN}",
"VOYAGE_API_KEY": "${VOYAGE_API_KEY}"
}
}
}
}claude mcp add codeweaver -e "CODEWEAVER_DEBUG=false" -e "CODEWEAVER_EMBEDDING_API_KEY=${CODEWEAVER_EMBEDDING_API_KEY}" -e "CODEWEAVER_EMBEDDING_MODEL=voyage-code-3" -e "CODEWEAVER_EMBEDDING_PROVIDER=voyage" -e "CODEWEAVER_HOST=localhost" -e "CODEWEAVER_LOG_LEVEL=WARNING" -e "CODEWEAVER_MCP_PORT=9328" -e "CODEWEAVER_PORT=9329" -e "CODEWEAVER_RERANKING_API_KEY=${CODEWEAVER_RERANKING_API_KEY}" -e "CODEWEAVER_RERANKING_MODEL=rerank-2.5" -e "CODEWEAVER_RERANKING_PROVIDER=voyage" -e "CODEWEAVER_SPARSE_EMBEDDING_MODEL=prithivida/Splade_pp_en_v1" -e "CODEWEAVER_SPARSE_EMBEDDING_PROVIDER=fastembed" -e "CODEWEAVER_VECTOR_STORE_API_KEY=${CODEWEAVER_VECTOR_STORE_API_KEY}" -e "CODEWEAVER_VECTOR_STORE_PORT=6333" -e "CODEWEAVER_VECTOR_STORE_PROVIDER=qdrant" -e "CODEWEAVER_VECTOR_STORE_URL=http://localhost" -e "CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY=false" -e "CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY=false" -e "OPENAI_API_KEY=${OPENAI_API_KEY}" -e "AI_GATEWAY_API_KEY=${AI_GATEWAY_API_KEY}" -e "AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}" -e "AZURE_COHERE_API_KEY=${AZURE_COHERE_API_KEY}" -e "AZURE_OPENAI_API_KEY=${AZURE_OPENAI_API_KEY}" -e "DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY}" -e "INFERENCE_KEY=${INFERENCE_KEY}" -e "QDRANT__SERVICE__API_KEY=${QDRANT__SERVICE__API_KEY}" -e "TOGETHER_API_KEY=${TOGETHER_API_KEY}" -e "VERCEL_OIDC_TOKEN=${VERCEL_OIDC_TOKEN}" -e "VOYAGE_API_KEY=${VOYAGE_API_KEY}" -- uvx code-weaver==0.1.0a3 server --project --config --host 127.0.0.1 --port 9328 --transport streamable-http --verbose --debug[mcp_servers.codeweaver]
command = "uvx"
args = ["code-weaver==0.1.0a3", "server", "--project", "--config", "--host", "127.0.0.1", "--port", "9328", "--transport", "streamable-http", "--verbose", "--debug"]
env = { "CODEWEAVER_DEBUG" = "false", "CODEWEAVER_EMBEDDING_API_KEY" = "${CODEWEAVER_EMBEDDING_API_KEY}", "CODEWEAVER_EMBEDDING_MODEL" = "voyage-code-3", "CODEWEAVER_EMBEDDING_PROVIDER" = "voyage", "CODEWEAVER_HOST" = "localhost", "CODEWEAVER_LOG_LEVEL" = "WARNING", "CODEWEAVER_MCP_PORT" = "9328", "CODEWEAVER_PORT" = "9329", "CODEWEAVER_RERANKING_API_KEY" = "${CODEWEAVER_RERANKING_API_KEY}", "CODEWEAVER_RERANKING_MODEL" = "rerank-2.5", "CODEWEAVER_RERANKING_PROVIDER" = "voyage", "CODEWEAVER_SPARSE_EMBEDDING_MODEL" = "prithivida/Splade_pp_en_v1", "CODEWEAVER_SPARSE_EMBEDDING_PROVIDER" = "fastembed", "CODEWEAVER_VECTOR_STORE_API_KEY" = "${CODEWEAVER_VECTOR_STORE_API_KEY}", "CODEWEAVER_VECTOR_STORE_PORT" = "6333", "CODEWEAVER_VECTOR_STORE_PROVIDER" = "qdrant", "CODEWEAVER_VECTOR_STORE_URL" = "http://localhost", "CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY" = "false", "CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY" = "false", "OPENAI_API_KEY" = "${OPENAI_API_KEY}", "AI_GATEWAY_API_KEY" = "${AI_GATEWAY_API_KEY}", "AWS_SECRET_ACCESS_KEY" = "${AWS_SECRET_ACCESS_KEY}", "AZURE_COHERE_API_KEY" = "${AZURE_COHERE_API_KEY}", "AZURE_OPENAI_API_KEY" = "${AZURE_OPENAI_API_KEY}", "DEEPSEEK_API_KEY" = "${DEEPSEEK_API_KEY}", "INFERENCE_KEY" = "${INFERENCE_KEY}", "QDRANT__SERVICE__API_KEY" = "${QDRANT__SERVICE__API_KEY}", "TOGETHER_API_KEY" = "${TOGETHER_API_KEY}", "VERCEL_OIDC_TOKEN" = "${VERCEL_OIDC_TOKEN}", "VOYAGE_API_KEY" = "${VOYAGE_API_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"codeweaver": {
"type": "local",
"command": [
"uvx",
"code-weaver==0.1.0a3",
"server",
"--project",
"--config",
"--host",
"127.0.0.1",
"--port",
"9328",
"--transport",
"streamable-http",
"--verbose",
"--debug"
],
"enabled": true,
"environment": {
"CODEWEAVER_DEBUG": "false",
"CODEWEAVER_EMBEDDING_API_KEY": "{env:CODEWEAVER_EMBEDDING_API_KEY}",
"CODEWEAVER_EMBEDDING_MODEL": "voyage-code-3",
"CODEWEAVER_EMBEDDING_PROVIDER": "voyage",
"CODEWEAVER_HOST": "localhost",
"CODEWEAVER_LOG_LEVEL": "WARNING",
"CODEWEAVER_MCP_PORT": "9328",
"CODEWEAVER_PORT": "9329",
"CODEWEAVER_RERANKING_API_KEY": "{env:CODEWEAVER_RERANKING_API_KEY}",
"CODEWEAVER_RERANKING_MODEL": "rerank-2.5",
"CODEWEAVER_RERANKING_PROVIDER": "voyage",
"CODEWEAVER_SPARSE_EMBEDDING_MODEL": "prithivida/Splade_pp_en_v1",
"CODEWEAVER_SPARSE_EMBEDDING_PROVIDER": "fastembed",
"CODEWEAVER_VECTOR_STORE_API_KEY": "{env:CODEWEAVER_VECTOR_STORE_API_KEY}",
"CODEWEAVER_VECTOR_STORE_PORT": "6333",
"CODEWEAVER_VECTOR_STORE_PROVIDER": "qdrant",
"CODEWEAVER_VECTOR_STORE_URL": "http://localhost",
"CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY": "false",
"CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY": "false",
"OPENAI_API_KEY": "{env:OPENAI_API_KEY}",
"AI_GATEWAY_API_KEY": "{env:AI_GATEWAY_API_KEY}",
"AWS_SECRET_ACCESS_KEY": "{env:AWS_SECRET_ACCESS_KEY}",
"AZURE_COHERE_API_KEY": "{env:AZURE_COHERE_API_KEY}",
"AZURE_OPENAI_API_KEY": "{env:AZURE_OPENAI_API_KEY}",
"DEEPSEEK_API_KEY": "{env:DEEPSEEK_API_KEY}",
"INFERENCE_KEY": "{env:INFERENCE_KEY}",
"QDRANT__SERVICE__API_KEY": "{env:QDRANT__SERVICE__API_KEY}",
"TOGETHER_API_KEY": "{env:TOGETHER_API_KEY}",
"VERCEL_OIDC_TOKEN": "{env:VERCEL_OIDC_TOKEN}",
"VOYAGE_API_KEY": "{env:VOYAGE_API_KEY}"
}
}
}
}{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver==0.1.0a3",
"server",
"--project",
"--config",
"--host",
"127.0.0.1",
"--port",
"9328",
"--transport",
"streamable-http",
"--verbose",
"--debug"
],
"env": {
"CODEWEAVER_DEBUG": "false",
"CODEWEAVER_EMBEDDING_API_KEY": "${CODEWEAVER_EMBEDDING_API_KEY}",
"CODEWEAVER_EMBEDDING_MODEL": "voyage-code-3",
"CODEWEAVER_EMBEDDING_PROVIDER": "voyage",
"CODEWEAVER_HOST": "localhost",
"CODEWEAVER_LOG_LEVEL": "WARNING",
"CODEWEAVER_MCP_PORT": "9328",
"CODEWEAVER_PORT": "9329",
"CODEWEAVER_RERANKING_API_KEY": "${CODEWEAVER_RERANKING_API_KEY}",
"CODEWEAVER_RERANKING_MODEL": "rerank-2.5",
"CODEWEAVER_RERANKING_PROVIDER": "voyage",
"CODEWEAVER_SPARSE_EMBEDDING_MODEL": "prithivida/Splade_pp_en_v1",
"CODEWEAVER_SPARSE_EMBEDDING_PROVIDER": "fastembed",
"CODEWEAVER_VECTOR_STORE_API_KEY": "${CODEWEAVER_VECTOR_STORE_API_KEY}",
"CODEWEAVER_VECTOR_STORE_PORT": "6333",
"CODEWEAVER_VECTOR_STORE_PROVIDER": "qdrant",
"CODEWEAVER_VECTOR_STORE_URL": "http://localhost",
"CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY": "false",
"CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY": "false",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"AI_GATEWAY_API_KEY": "${AI_GATEWAY_API_KEY}",
"AWS_SECRET_ACCESS_KEY": "${AWS_SECRET_ACCESS_KEY}",
"AZURE_COHERE_API_KEY": "${AZURE_COHERE_API_KEY}",
"AZURE_OPENAI_API_KEY": "${AZURE_OPENAI_API_KEY}",
"DEEPSEEK_API_KEY": "${DEEPSEEK_API_KEY}",
"INFERENCE_KEY": "${INFERENCE_KEY}",
"QDRANT__SERVICE__API_KEY": "${QDRANT__SERVICE__API_KEY}",
"TOGETHER_API_KEY": "${TOGETHER_API_KEY}",
"VERCEL_OIDC_TOKEN": "${VERCEL_OIDC_TOKEN}",
"VOYAGE_API_KEY": "${VOYAGE_API_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=codeweaver&config=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%3D"
}{
"servers": {
"codeweaver": {
"type": "stdio",
"command": "uvx",
"args": [
"code-weaver==0.1.0a3",
"server",
"--project",
"--config",
"--host",
"127.0.0.1",
"--port",
"9328",
"--transport",
"streamable-http",
"--verbose",
"--debug"
],
"env": {
"CODEWEAVER_DEBUG": "false",
"CODEWEAVER_EMBEDDING_API_KEY": "${CODEWEAVER_EMBEDDING_API_KEY}",
"CODEWEAVER_EMBEDDING_MODEL": "voyage-code-3",
"CODEWEAVER_EMBEDDING_PROVIDER": "voyage",
"CODEWEAVER_HOST": "localhost",
"CODEWEAVER_LOG_LEVEL": "WARNING",
"CODEWEAVER_MCP_PORT": "9328",
"CODEWEAVER_PORT": "9329",
"CODEWEAVER_RERANKING_API_KEY": "${CODEWEAVER_RERANKING_API_KEY}",
"CODEWEAVER_RERANKING_MODEL": "rerank-2.5",
"CODEWEAVER_RERANKING_PROVIDER": "voyage",
"CODEWEAVER_SPARSE_EMBEDDING_MODEL": "prithivida/Splade_pp_en_v1",
"CODEWEAVER_SPARSE_EMBEDDING_PROVIDER": "fastembed",
"CODEWEAVER_VECTOR_STORE_API_KEY": "${CODEWEAVER_VECTOR_STORE_API_KEY}",
"CODEWEAVER_VECTOR_STORE_PORT": "6333",
"CODEWEAVER_VECTOR_STORE_PROVIDER": "qdrant",
"CODEWEAVER_VECTOR_STORE_URL": "http://localhost",
"CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY": "false",
"CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY": "false",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"AI_GATEWAY_API_KEY": "${AI_GATEWAY_API_KEY}",
"AWS_SECRET_ACCESS_KEY": "${AWS_SECRET_ACCESS_KEY}",
"AZURE_COHERE_API_KEY": "${AZURE_COHERE_API_KEY}",
"AZURE_OPENAI_API_KEY": "${AZURE_OPENAI_API_KEY}",
"DEEPSEEK_API_KEY": "${DEEPSEEK_API_KEY}",
"INFERENCE_KEY": "${INFERENCE_KEY}",
"QDRANT__SERVICE__API_KEY": "${QDRANT__SERVICE__API_KEY}",
"TOGETHER_API_KEY": "${TOGETHER_API_KEY}",
"VERCEL_OIDC_TOKEN": "${VERCEL_OIDC_TOKEN}",
"VOYAGE_API_KEY": "${VOYAGE_API_KEY}"
}
}
}
}{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver==0.1.0a3",
"server",
"--project",
"--config",
"--host",
"127.0.0.1",
"--port",
"9328",
"--transport",
"streamable-http",
"--verbose",
"--debug"
],
"env": {
"CODEWEAVER_DEBUG": "false",
"CODEWEAVER_EMBEDDING_API_KEY": "${CODEWEAVER_EMBEDDING_API_KEY}",
"CODEWEAVER_EMBEDDING_MODEL": "voyage-code-3",
"CODEWEAVER_EMBEDDING_PROVIDER": "voyage",
"CODEWEAVER_HOST": "localhost",
"CODEWEAVER_LOG_LEVEL": "WARNING",
"CODEWEAVER_MCP_PORT": "9328",
"CODEWEAVER_PORT": "9329",
"CODEWEAVER_RERANKING_API_KEY": "${CODEWEAVER_RERANKING_API_KEY}",
"CODEWEAVER_RERANKING_MODEL": "rerank-2.5",
"CODEWEAVER_RERANKING_PROVIDER": "voyage",
"CODEWEAVER_SPARSE_EMBEDDING_MODEL": "prithivida/Splade_pp_en_v1",
"CODEWEAVER_SPARSE_EMBEDDING_PROVIDER": "fastembed",
"CODEWEAVER_VECTOR_STORE_API_KEY": "${CODEWEAVER_VECTOR_STORE_API_KEY}",
"CODEWEAVER_VECTOR_STORE_PORT": "6333",
"CODEWEAVER_VECTOR_STORE_PROVIDER": "qdrant",
"CODEWEAVER_VECTOR_STORE_URL": "http://localhost",
"CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY": "false",
"CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY": "false",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"AI_GATEWAY_API_KEY": "${AI_GATEWAY_API_KEY}",
"AWS_SECRET_ACCESS_KEY": "${AWS_SECRET_ACCESS_KEY}",
"AZURE_COHERE_API_KEY": "${AZURE_COHERE_API_KEY}",
"AZURE_OPENAI_API_KEY": "${AZURE_OPENAI_API_KEY}",
"DEEPSEEK_API_KEY": "${DEEPSEEK_API_KEY}",
"INFERENCE_KEY": "${INFERENCE_KEY}",
"QDRANT__SERVICE__API_KEY": "${QDRANT__SERVICE__API_KEY}",
"TOGETHER_API_KEY": "${TOGETHER_API_KEY}",
"VERCEL_OIDC_TOKEN": "${VERCEL_OIDC_TOKEN}",
"VOYAGE_API_KEY": "${VOYAGE_API_KEY}"
}
}
}
}extensions:
"codeweaver":
enabled: true
name: "codeweaver"
type: stdio
cmd: "uvx"
args:
- "code-weaver==0.1.0a3"
- "server"
- "--project"
- "--config"
- "--host"
- "127.0.0.1"
- "--port"
- "9328"
- "--transport"
- "streamable-http"
- "--verbose"
- "--debug"
envs:
"CODEWEAVER_DEBUG": "false"
"CODEWEAVER_EMBEDDING_API_KEY": "${CODEWEAVER_EMBEDDING_API_KEY}"
"CODEWEAVER_EMBEDDING_MODEL": "voyage-code-3"
"CODEWEAVER_EMBEDDING_PROVIDER": "voyage"
"CODEWEAVER_HOST": "localhost"
"CODEWEAVER_LOG_LEVEL": "WARNING"
"CODEWEAVER_MCP_PORT": "9328"
"CODEWEAVER_PORT": "9329"
"CODEWEAVER_RERANKING_API_KEY": "${CODEWEAVER_RERANKING_API_KEY}"
"CODEWEAVER_RERANKING_MODEL": "rerank-2.5"
"CODEWEAVER_RERANKING_PROVIDER": "voyage"
"CODEWEAVER_SPARSE_EMBEDDING_MODEL": "prithivida/Splade_pp_en_v1"
"CODEWEAVER_SPARSE_EMBEDDING_PROVIDER": "fastembed"
"CODEWEAVER_VECTOR_STORE_API_KEY": "${CODEWEAVER_VECTOR_STORE_API_KEY}"
"CODEWEAVER_VECTOR_STORE_PORT": "6333"
"CODEWEAVER_VECTOR_STORE_PROVIDER": "qdrant"
"CODEWEAVER_VECTOR_STORE_URL": "http://localhost"
"CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY": "false"
"CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY": "false"
"OPENAI_API_KEY": "${OPENAI_API_KEY}"
"AI_GATEWAY_API_KEY": "${AI_GATEWAY_API_KEY}"
"AWS_SECRET_ACCESS_KEY": "${AWS_SECRET_ACCESS_KEY}"
"AZURE_COHERE_API_KEY": "${AZURE_COHERE_API_KEY}"
"AZURE_OPENAI_API_KEY": "${AZURE_OPENAI_API_KEY}"
"DEEPSEEK_API_KEY": "${DEEPSEEK_API_KEY}"
"INFERENCE_KEY": "${INFERENCE_KEY}"
"QDRANT__SERVICE__API_KEY": "${QDRANT__SERVICE__API_KEY}"
"TOGETHER_API_KEY": "${TOGETHER_API_KEY}"
"VERCEL_OIDC_TOKEN": "${VERCEL_OIDC_TOKEN}"
"VOYAGE_API_KEY": "${VOYAGE_API_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${CODEWEAVER_EMBEDDING_API_KEY}, ${CODEWEAVER_RERANKING_API_KEY}, ${CODEWEAVER_VECTOR_STORE_API_KEY}, ${OPENAI_API_KEY}, ${AI_GATEWAY_API_KEY}, ${AWS_SECRET_ACCESS_KEY}, ${AZURE_COHERE_API_KEY}, ${AZURE_OPENAI_API_KEY}, ${DEEPSEEK_API_KEY}, ${INFERENCE_KEY}, ${QDRANT__SERVICE__API_KEY}, ${TOGETHER_API_KEY}, ${VERCEL_OIDC_TOKEN}, ${VOYAGE_API_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns2 advisories to act on (malicious, or rated high or critical with a fix available): GHSA-6fqq-452j-qhrp in [email protected] (direct, fixed in 2.53.0), GHSA-6fqq-452j-qhrp in [email protected] (indirect, fixed in 2.53.0); 2 more of lower severity or without a fixdeps.mcp_sdk_versionmcp 2.2.0, no known advisorydeps.resolvable[email protected] resolved: 162 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +dns-namespace +website ~liveness-unmeasured -stale-321d -unpinned-packages(1)
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPI161 dependencies, resolved · MCP SDK mcp 2.2.0 · advisories checked 2026-10-19
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-6fqq-452j-qhrpPydantic AI: Concurrency-limited models can keep their slot when a streamed request ends early | high | [email protected]direct | fixed in 2.53.0 |
| GHSA-6fqq-452j-qhrpPydantic AI: Concurrency-limited models can keep their slot when a streamed request ends early | high | [email protected]indirect | fixed in 2.53.0 |
| GHSA-v36g-jcw9-x7cwPydantic AI: Excessive resource use when local web fetching converts nested HTML | moderate | [email protected]direct | fixed in 2.52.0 |
| GHSA-v36g-jcw9-x7cwPydantic AI: Excessive resource use when local web fetching converts nested HTML | moderate | [email protected]indirect | fixed in 2.52.0 |
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
code-weaver | pypi | 0.1.0a3 | uvx | CODEWEAVER_EMBEDDING_API_KEY, CODEWEAVER_RERANKING_API_KEY, CODEWEAVER_VECTOR_STORE_API_KEY, OPENAI_API_KEY, AI_GATEWAY_API_KEY, AWS_SECRET_ACCESS_KEY, AZURE_COHERE_API_KEY, AZURE_OPENAI_API_KEY, DEEPSEEK_API_KEY, INFERENCE_KEY, QDRANT__SERVICE__API_KEY, TOGETHER_API_KEY, VERCEL_OIDC_TOKEN, VOYAGE_API_KEY |
docker.io/knitli/codeweaver:0.1.0-alpha.3 | oci | unpinned | docker | CODEWEAVER_EMBEDDING_API_KEY, CODEWEAVER_RERANKING_API_KEY, CODEWEAVER_VECTOR_STORE_API_KEY, OPENAI_API_KEY, AI_GATEWAY_API_KEY, AWS_SECRET_ACCESS_KEY, AZURE_COHERE_API_KEY, AZURE_OPENAI_API_KEY, DEEPSEEK_API_KEY, INFERENCE_KEY, QDRANT__SERVICE__API_KEY, TOGETHER_API_KEY, VERCEL_OIDC_TOKEN, VOYAGE_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "com.knitli/codeweaver",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"tags": [
"agent-tools",
"ast-parsing",
"code-search",
"code-understanding",
"developer-tools",
"embeddings",
"hybrid-search",
"multi-language",
"natural-language-processing",
"reranking",
"semantic-search",
"sparse-embeddings",
"vector-database"
],
"build_info": {
"framework": "fastmcp",
"python_version": ">=3.12",
"package_manager": "uv"
},
"capabilities": {
"search_types": [
"semantic",
"hybrid",
"traditional"
],
"chunking_strategies": [
"semantic",
"semantically-aware-delimiters"
],
"embedding_providers": [
"Github",
"Azure",
"Fireworks",
"Mistral",
"Vercel",
"Groq",
"Ollama",
"Hf Inference",
"Fastembed",
"Bedrock",
"Openai",
"Sentence Transformers",
"Together",
"Voyage",
"Heroku",
"Cohere",
"Google"
],
"languages_supported": 166,
"reranking_providers": [
"Fastembed",
"Bedrock",
"Sentence Transformers",
"Voyage",
"Cohere"
],
"vector_store_providers": [
"Qdrant",
"Memory"
],
"sparse_embedding_providers": [
"Fastembed",
"Sentence Transformers"
]
},
"all_supported_languages": [
"asciidoc",
"assembly",
"assemblyscript",
"astro",
"bash (AST support)",
"batch",
"beef",
"c lang (AST support)",
"c plus plus (AST support)",
"c sharp (AST support)",
"carbon",
"chapel",
"clojure",
"cmake",
"cobol",
"coffeescript",
"confluence",
"coq",
"creole",
"crystal",
"css (AST support)",
"csv",
"cuda",
"cue",
"cython",
"dart",
"data",
"dbf",
"devicetree",
"dhall",
"dita",
"dlang",
"docbook",
"docker",
"duck",
"dyck",
"ecl",
"eiffel",
"elixir (AST support)",
"elm",
"elvish",
"emacs",
"erlang",
"eta",
"excel",
"factor",
"fortran",
"frege",
"fsharp",
"gleam",
"go (AST support)",
"gosu",
"graphql",
"groovy",
"hack",
"haskell (AST support)",
"hcl (AST support)",
"help",
"hjson",
"hlsl",
"html (AST support)",
"idris",
"imba",
"info",
"ini",
"io",
"janet",
"java (AST support)",
"javascript (AST support)",
"jelly",
"jinja",
"json (AST support)",
"jsx (AST support)",
"jule",
"julia",
"jupyter",
"just",
"kotlin (AST support)",
"lagda",
"latex",
"less",
"lhs",
"lisp",
"livescript",
"lua (AST support)",
"lucee",
"make",
"man",
"markdown",
"matlab",
"mediawiki",
"mojo",
"move",
"newick",
"nimble",
"nix (AST support)",
"nushell",
"nw",
"objective-c",
"ocaml",
"odin",
"org",
"pascal",
"perl",
"pharo",
"php (AST support)",
"pkl",
"pod",
"pony",
"powershell",
"properties",
"protobuf",
"purescript",
"python (AST support)",
"qb64",
"qml",
"r",
"racket",
"rake",
"raku",
"rakudo",
"reason",
"red",
"rescript",
"restructuredtext",
"ring",
"rmarkdown",
"rmd",
"rnw",
"rtf",
"ruby (AST support)",
"rust (AST support)",
"sas",
"sass",
"scala (AST support)",
"scheme",
"scss",
"self",
"smali",
"sml",
"solidity (AST support)",
"sql",
"svelte",
"swift (AST support)",
"texinfo",
"text",
"textile",
"toml",
"tsv",
"tsx (AST support)",
"typescript (AST support)",
"vala",
"vale",
"vbscript",
"verilog",
"vhdl",
"visualbasic6",
"vlang",
"vue",
"wiki",
"xml",
"xonsh",
"yaml (AST support)",
"yard",
"zig",
"zsh"
]
}
},
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-10-17/server.schema.json",
"version": "0.1.0-alpha.3",
"packages": [
{
"version": "0.1.0a3",
"transport": {
"type": "stdio"
},
"identifier": "code-weaver",
"runtimeHint": "uvx",
"registryType": "pypi",
"packageArguments": [
{
"type": "positional",
"value": "server",
"isRequired": true,
"description": "Start the MCP server"
},
{
"name": "--project",
"type": "named",
"valueHint": "path",
"description": "Path to the code repository to index and search"
},
{
"name": "--config",
"type": "named",
"valueHint": "file_path",
"description": "Path to configuration file (TOML, YAML or JSON format). Only needed if not using default config locations."
},
{
"name": "--host",
"type": "named",
"default": "127.0.0.1",
"valueHint": "host",
"description": "Host address for MCP server"
},
{
"name": "--port",
"type": "named",
"format": "number",
"default": "9328",
"valueHint": "port",
"description": "Port for MCP server"
},
{
"name": "--transport",
"type": "named",
"choices": [
"streamable-http",
"stdio"
],
"default": "streamable-http",
"description": "Transport type for MCP communication. "
},
{
"name": "--verbose",
"type": "named",
"format": "boolean",
"description": "Enable verbose logging with timestamps"
},
{
"name": "--debug",
"type": "named",
"format": "boolean",
"description": "Enable debug logging"
}
],
"environmentVariables": [
{
"name": "CODEWEAVER_CONFIG_FILE",
"format": "filepath",
"description": "Specify a custom config file path for CodeWeaver. Only needed if not using the default locations."
},
{
"name": "CODEWEAVER_DEBUG",
"format": "boolean",
"choices": [
"true",
"false"
],
"default": "false",
"description": "Enable debug mode for CodeWeaver."
},
{
"name": "CODEWEAVER_EMBEDDING_API_KEY",
"format": "string",
"choices": [
"cohere",
"azure",
"together",
"google",
"vercel",
"bedrock",
"heroku",
"groq",
"github",
"openai",
"ollama (cloud only)",
"mistral",
"hf_inference",
"fireworks",
"voyage"
],
"isSecret": true,
"description": "Specify the API key for the embedding provider, if required. Note: {', '.join([p for p in _providers_for_kind('embedding') if p.])}"
},
{
"name": "CODEWEAVER_EMBEDDING_MODEL",
"format": "string",
"default": "voyage-code-3",
"description": "Specify the embedding model to use."
},
{
"name": "CODEWEAVER_EMBEDDING_PROVIDER",
"format": "string",
"choices": [
"cohere",
"azure",
"together",
"google",
"sentence_transformers",
"vercel",
"bedrock",
"heroku",
"groq",
"github",
"openai",
"mistral",
"hf_inference",
"fireworks",
"ollama",
"fastembed",
"voyage"
],
"default": "voyage",
"description": "Specify the embedding provider to use."
},
{
"name": "CODEWEAVER_HOST",
"format": "string",
"default": "localhost",
"description": "Set the server host for CodeWeaver."
},
{
"name": "CODEWEAVER_LOG_LEVEL",
"format": "string",
"choices": [
"CRITICAL",
"INFO",
"DEBUG",
"ERROR",
"WARNING"
],
"default": "WARNING",
"description": "Set the log level for CodeWeaver (e.g., DEBUG, INFO, WARNING, ERROR)."
},
{
"name": "CODEWEAVER_MCP_PORT",
"format": "number",
"default": "9328",
"description": "Set the MCP server port for CodeWeaver if using http transport for mcp. Not required if using the default port (9328), or stdio transport."
},
{
"name": "CODEWEAVER_PORT",
"format": "number",
"default": "9329",
"description": "Set the port for the codeweaver management server (information and management endpoints)."
},
{
"name": "CODEWEAVER_PROFILE",
"format": "string",
"choices": [
"testing",
"quickstart",
"recommended"
],
"description": "Use a premade provider settings profile for CodeWeaver."
},
{
"name": "CODEWEAVER_PROJECT_NAME",
"format": "string",
"description": "Set the project name for CodeWeaver."
},
{
"name": "CODEWEAVER_PROJECT_PATH",
"format": "filepath",
"description": "Set the project path for CodeWeaver."
},
{
"name": "CODEWEAVER_RERANKING_API_KEY",
"format": "string",
"choices": [
"cohere",
"bedrock",
"voyage"
],
"isSecret": true,
"description": "Specify the API key for the reranking provider, if required."
},
{
"name": "CODEWEAVER_RERANKING_MODEL",
"format": "string",
"default": "rerank-2.5",
"description": "Specify the reranking model to use."
},
{
"name": "CODEWEAVER_RERANKING_PROVIDER",
"format": "string",
"choices": [
"cohere",
"sentence_transformers",
"bedrock",
"fastembed",
"voyage"
],
"default": "voyage",
"description": "Specify the reranking provider to use."
},
{
"name": "CODEWEAVER_SPARSE_EMBEDDING_MODEL",
"format": "string",
"default": "prithivida/Splade_pp_en_v1",
"description": "Specify the sparse embedding model to use."
},
{
"name": "CODEWEAVER_SPARSE_EMBEDDING_PROVIDER",
"format": "string",
"choices": [
"sentence_transformers",
"fastembed"
],
"default": "fastembed",
"description": "Specify the sparse embedding provider to use."
},
{
"name": "CODEWEAVER_VECTOR_STORE_API_KEY",
"format": "string",
"choices": [
"qdrant (cloud only)",
"qdrant"
],
"isSecret": true,
"description": "Specify the API key for the vector store, if required."
},
{
"name": "CODEWEAVER_VECTOR_STORE_PORT",
"format": "string",
"default": "6333",
"description": "Specify the port for the vector store."
},
{
"name": "CODEWEAVER_VECTOR_STORE_PROVIDER",
"format": "string",
"choices": [
"memory",
"qdrant"
],
"default": "qdrant",
"description": "Specify the vector store provider to use."
},
{
"name": "CODEWEAVER_VECTOR_STORE_URL",
"format": "string",
"default": "http://localhost",
"description": "Specify the URL for the vector store."
},
{
"name": "CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY",
"format": "boolean",
"choices": [
"true",
"false"
],
"default": "false",
"description": "Disable telemetry data collection."
},
{
"name": "CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY",
"format": "boolean",
"choices": [
"true",
"false"
],
"default": "false",
"description": "Opt-in to potentially identifying collection of query and search result data. This is invaluable for helping us improve CodeWeaver's search capabilities. If privacy is a higher priority, do not enable this setting."
},
{
"name": "HTTPS_PROXY",
"format": "string",
"description": "HTTP proxy for requests (Used by: Azure, Azure, Voyage)"
},
{
"name": "OPENAI_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for OpenAI-compatible services (not necessarily an API key *for* OpenAI). The OpenAI client also requires an API key, even if you don't actually need one for your provider (like local Ollama). So provide a dummy key if needed. (Used by: Azure, Cerebras, Deepseek, Fireworks, Github, Groq, Heroku, Moonshot, Ollama, Openai, Openrouter, Perplexity, Together, Vercel, X Ai)"
},
{
"name": "OPENAI_LOG",
"format": "string",
"choices": [
"error",
"warning",
"debug",
"info"
],
"description": "One of: 'debug', 'info', 'warning', 'error' (Used by: Azure, Cerebras, Deepseek, Fireworks, Github, Groq, Heroku, Moonshot, Ollama, Openai, Openrouter, Perplexity, Together, Vercel, X Ai)"
},
{
"name": "SSL_CERT_FILE",
"format": "string",
"description": "Path to the SSL certificate file for requests (Used by: Azure, Azure, Voyage)"
},
{
"name": "AI_GATEWAY_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Vercel service"
},
{
"name": "AWS_ACCOUNT_ID",
"format": "string",
"description": "AWS Account ID for Bedrock service"
},
{
"name": "AWS_REGION",
"format": "string",
"description": "AWS region for Bedrock service"
},
{
"name": "AWS_SECRET_ACCESS_KEY",
"format": "string",
"isSecret": true,
"description": "AWS Secret Access Key for Bedrock service"
},
{
"name": "AZURE_COHERE_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Azure Cohere service (cohere models on Azure)"
},
{
"name": "AZURE_COHERE_ENDPOINT",
"format": "string",
"description": "Endpoint for Azure Cohere service (cohere models on Azure)"
},
{
"name": "AZURE_COHERE_REGION",
"format": "string",
"description": "Region for Azure Cohere service"
},
{
"name": "AZURE_OPENAI_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Azure OpenAI service (OpenAI models on Azure)"
},
{
"name": "AZURE_OPENAI_ENDPOINT",
"format": "string",
"description": "Endpoint for Azure OpenAI service (OpenAI models on Azure)"
},
{
"name": "AZURE_OPENAI_REGION",
"format": "string",
"description": "Region for Azure OpenAI service (OpenAI models on Azure)"
},
{
"name": "COHERE_API_KEY",
"format": "string",
"description": "Your Cohere API Key"
},
{
"name": "CO_API_URL",
"format": "string",
"description": "Host URL for Cohere service"
},
{
"name": "DEEPSEEK_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for DeepSeek service"
},
{
"name": "GEMINI_API_KEY",
"format": "string",
"description": "Your Google Gemini API Key"
},
{
"name": "GOOGLE_API_KEY",
"format": "string",
"description": "Your Google API Key"
},
{
"name": "HF_HUB_VERBOSITY",
"format": "string",
"choices": [
"warning",
"debug",
"info",
"critical",
"error"
],
"description": "Log level for Hugging Face Hub client"
},
{
"name": "HF_TOKEN",
"format": "string",
"description": "API key/token for Hugging Face service"
},
{
"name": "HTTPS_PROXY",
"format": "string",
"description": "HTTP proxy for requests"
},
{
"name": "INFERENCE_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Heroku service"
},
{
"name": "INFERENCE_URL",
"format": "string",
"description": "Host URL for Heroku service"
},
{
"name": "MISTRAL_API_KEY",
"format": "string",
"description": "Your Mistral API Key"
},
{
"name": "OPENAI_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for OpenAI-compatible services (not necessarily an API key *for* OpenAI). The OpenAI client also requires an API key, even if you don't actually need one for your provider (like local Ollama). So provide a dummy key if needed."
},
{
"name": "OPENAI_LOG",
"format": "string",
"choices": [
"error",
"warning",
"debug",
"info"
],
"description": "One of: 'debug', 'info', 'warning', 'error'"
},
{
"name": "QDRANT__LOG_LEVEL",
"format": "string",
"choices": [
"DEBUG",
"ERROR",
"INFO",
"WARNING"
],
"description": "Log level for Qdrant service"
},
{
"name": "QDRANT__SERVICE__API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Qdrant service"
},
{
"name": "QDRANT__SERVICE__ENABLE_TLS",
"format": "boolean",
"choices": [
"true",
"false"
],
"description": "Enable TLS for Qdrant service, expects truthy or false value (e.g. 1 for on, 0 for off)."
},
{
"name": "QDRANT__SERVICE__HOST",
"format": "string",
"description": "Hostname of the Qdrant service; do not use for URLs with schemes (e.g. 'http://')"
},
{
"name": "QDRANT__SERVICE__HTTP_PORT",
"format": "string",
"description": "Port number for the Qdrant service"
},
{
"name": "QDRANT__TLS__CERT",
"format": "filepath",
"description": "Path to the TLS certificate file for Qdrant service. Only needed if using a self-signed certificate. If you're using qdrant-cloud, you don't need this."
},
{
"name": "SSL_CERT_FILE",
"format": "string",
"description": "Path to the SSL certificate file for requests"
},
{
"name": "TAVILY_API_KEY",
"format": "string",
"description": "Your Tavily API Key"
},
{
"name": "TOGETHER_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Together service"
},
{
"name": "VERCEL_OIDC_TOKEN",
"format": "string",
"isSecret": true,
"description": "OIDC token for Vercel service"
},
{
"name": "VOYAGE_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Voyage service"
}
]
},
{
"transport": {
"type": "stdio"
},
"identifier": "docker.io/knitli/codeweaver:0.1.0-alpha.3",
"runtimeHint": "docker",
"registryType": "oci",
"packageArguments": [
{
"type": "positional",
"value": "server",
"description": "Start CodeWeaver MCP server"
},
{
"name": "--host",
"type": "named",
"value": "0.0.0.0",
"description": "Bind to all interfaces in container"
},
{
"name": "--port",
"type": "named",
"value": "9328",
"description": "MCP server port inside container"
},
{
"name": "--transport",
"type": "named",
"choices": [
"streamable-http",
"stdio"
],
"default": "streamable-http",
"description": "Use streamable-http for persistent state and continuous indexing"
}
],
"runtimeArguments": [
{
"name": "--rm",
"type": "named",
"description": "Automatically remove container when it exits"
},
{
"name": "-v",
"type": "named",
"value": "{workspace}:/workspace:ro",
"variables": {
"workspace": {
"isRequired": true,
"description": "Path to your codebase to index and search"
}
},
"description": "Mount workspace directory as read-only"
},
{
"name": "-e",
"type": "named",
"value": "CODEWEAVER_PROJECT_PATH=/workspace",
"description": "Set repository path inside container"
},
{
"name": "-p",
"type": "named",
"value": "{host_port}:9328",
"variables": {
"host_port": {
"default": "9328",
"description": "Host port to expose MCP server"
}
},
"description": "Port mapping for MCP server"
},
{
"name": "--network",
"type": "named",
"value": "{network}",
"variables": {
"network": {
"default": "bridge",
"description": "Docker network name (use 'host' for local Qdrant or custom network)"
}
},
"description": "Docker network for Qdrant connectivity"
}
],
"environmentVariables": [
{
"name": "CODEWEAVER_CONFIG_FILE",
"format": "filepath",
"description": "Specify a custom config file path for CodeWeaver. Only needed if not using the default locations."
},
{
"name": "CODEWEAVER_DEBUG",
"format": "boolean",
"choices": [
"true",
"false"
],
"default": "false",
"description": "Enable debug mode for CodeWeaver."
},
{
"name": "CODEWEAVER_EMBEDDING_API_KEY",
"format": "string",
"choices": [
"cohere",
"azure",
"together",
"google",
"vercel",
"bedrock",
"heroku",
"groq",
"github",
"openai",
"ollama (cloud only)",
"mistral",
"hf_inference",
"fireworks",
"voyage"
],
"isSecret": true,
"description": "Specify the API key for the embedding provider, if required. Note: {', '.join([p for p in _providers_for_kind('embedding') if p.])}"
},
{
"name": "CODEWEAVER_EMBEDDING_MODEL",
"format": "string",
"default": "voyage-code-3",
"description": "Specify the embedding model to use."
},
{
"name": "CODEWEAVER_EMBEDDING_PROVIDER",
"format": "string",
"choices": [
"cohere",
"azure",
"together",
"google",
"sentence_transformers",
"vercel",
"bedrock",
"heroku",
"groq",
"github",
"openai",
"mistral",
"hf_inference",
"fireworks",
"ollama",
"fastembed",
"voyage"
],
"default": "voyage",
"description": "Specify the embedding provider to use."
},
{
"name": "CODEWEAVER_HOST",
"format": "string",
"default": "localhost",
"description": "Set the server host for CodeWeaver."
},
{
"name": "CODEWEAVER_LOG_LEVEL",
"format": "string",
"choices": [
"CRITICAL",
"INFO",
"DEBUG",
"ERROR",
"WARNING"
],
"default": "WARNING",
"description": "Set the log level for CodeWeaver (e.g., DEBUG, INFO, WARNING, ERROR)."
},
{
"name": "CODEWEAVER_MCP_PORT",
"format": "number",
"default": "9328",
"description": "Set the MCP server port for CodeWeaver if using http transport for mcp. Not required if using the default port (9328), or stdio transport."
},
{
"name": "CODEWEAVER_PORT",
"format": "number",
"default": "9329",
"description": "Set the port for the codeweaver management server (information and management endpoints)."
},
{
"name": "CODEWEAVER_PROFILE",
"format": "string",
"choices": [
"testing",
"quickstart",
"recommended"
],
"description": "Use a premade provider settings profile for CodeWeaver."
},
{
"name": "CODEWEAVER_PROJECT_NAME",
"format": "string",
"description": "Set the project name for CodeWeaver."
},
{
"name": "CODEWEAVER_PROJECT_PATH",
"format": "filepath",
"description": "Set the project path for CodeWeaver."
},
{
"name": "CODEWEAVER_RERANKING_API_KEY",
"format": "string",
"choices": [
"cohere",
"bedrock",
"voyage"
],
"isSecret": true,
"description": "Specify the API key for the reranking provider, if required."
},
{
"name": "CODEWEAVER_RERANKING_MODEL",
"format": "string",
"default": "rerank-2.5",
"description": "Specify the reranking model to use."
},
{
"name": "CODEWEAVER_RERANKING_PROVIDER",
"format": "string",
"choices": [
"cohere",
"sentence_transformers",
"bedrock",
"fastembed",
"voyage"
],
"default": "voyage",
"description": "Specify the reranking provider to use."
},
{
"name": "CODEWEAVER_SPARSE_EMBEDDING_MODEL",
"format": "string",
"default": "prithivida/Splade_pp_en_v1",
"description": "Specify the sparse embedding model to use."
},
{
"name": "CODEWEAVER_SPARSE_EMBEDDING_PROVIDER",
"format": "string",
"choices": [
"sentence_transformers",
"fastembed"
],
"default": "fastembed",
"description": "Specify the sparse embedding provider to use."
},
{
"name": "CODEWEAVER_VECTOR_STORE_API_KEY",
"format": "string",
"choices": [
"qdrant (cloud only)",
"qdrant"
],
"isSecret": true,
"description": "Specify the API key for the vector store, if required."
},
{
"name": "CODEWEAVER_VECTOR_STORE_PORT",
"format": "string",
"default": "6333",
"description": "Specify the port for the vector store."
},
{
"name": "CODEWEAVER_VECTOR_STORE_PROVIDER",
"format": "string",
"choices": [
"memory",
"qdrant"
],
"default": "qdrant",
"description": "Specify the vector store provider to use."
},
{
"name": "CODEWEAVER_VECTOR_STORE_URL",
"format": "string",
"default": "http://localhost",
"description": "Specify the URL for the vector store."
},
{
"name": "CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY",
"format": "boolean",
"choices": [
"true",
"false"
],
"default": "false",
"description": "Disable telemetry data collection."
},
{
"name": "CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY",
"format": "boolean",
"choices": [
"true",
"false"
],
"default": "false",
"description": "Opt-in to potentially identifying collection of query and search result data. This is invaluable for helping us improve CodeWeaver's search capabilities. If privacy is a higher priority, do not enable this setting."
},
{
"name": "HTTPS_PROXY",
"format": "string",
"description": "HTTP proxy for requests (Used by: Azure, Azure, Voyage)"
},
{
"name": "OPENAI_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for OpenAI-compatible services (not necessarily an API key *for* OpenAI). The OpenAI client also requires an API key, even if you don't actually need one for your provider (like local Ollama). So provide a dummy key if needed. (Used by: Azure, Cerebras, Deepseek, Fireworks, Github, Groq, Heroku, Moonshot, Ollama, Openai, Openrouter, Perplexity, Together, Vercel, X Ai)"
},
{
"name": "OPENAI_LOG",
"format": "string",
"choices": [
"error",
"warning",
"debug",
"info"
],
"description": "One of: 'debug', 'info', 'warning', 'error' (Used by: Azure, Cerebras, Deepseek, Fireworks, Github, Groq, Heroku, Moonshot, Ollama, Openai, Openrouter, Perplexity, Together, Vercel, X Ai)"
},
{
"name": "SSL_CERT_FILE",
"format": "string",
"description": "Path to the SSL certificate file for requests (Used by: Azure, Azure, Voyage)"
},
{
"name": "AI_GATEWAY_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Vercel service"
},
{
"name": "AWS_ACCOUNT_ID",
"format": "string",
"description": "AWS Account ID for Bedrock service"
},
{
"name": "AWS_REGION",
"format": "string",
"description": "AWS region for Bedrock service"
},
{
"name": "AWS_SECRET_ACCESS_KEY",
"format": "string",
"isSecret": true,
"description": "AWS Secret Access Key for Bedrock service"
},
{
"name": "AZURE_COHERE_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Azure Cohere service (cohere models on Azure)"
},
{
"name": "AZURE_COHERE_ENDPOINT",
"format": "string",
"description": "Endpoint for Azure Cohere service (cohere models on Azure)"
},
{
"name": "AZURE_COHERE_REGION",
"format": "string",
"description": "Region for Azure Cohere service"
},
{
"name": "AZURE_OPENAI_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Azure OpenAI service (OpenAI models on Azure)"
},
{
"name": "AZURE_OPENAI_ENDPOINT",
"format": "string",
"description": "Endpoint for Azure OpenAI service (OpenAI models on Azure)"
},
{
"name": "AZURE_OPENAI_REGION",
"format": "string",
"description": "Region for Azure OpenAI service (OpenAI models on Azure)"
},
{
"name": "COHERE_API_KEY",
"format": "string",
"description": "Your Cohere API Key"
},
{
"name": "CO_API_URL",
"format": "string",
"description": "Host URL for Cohere service"
},
{
"name": "DEEPSEEK_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for DeepSeek service"
},
{
"name": "GEMINI_API_KEY",
"format": "string",
"description": "Your Google Gemini API Key"
},
{
"name": "GOOGLE_API_KEY",
"format": "string",
"description": "Your Google API Key"
},
{
"name": "HF_HUB_VERBOSITY",
"format": "string",
"choices": [
"warning",
"debug",
"info",
"critical",
"error"
],
"description": "Log level for Hugging Face Hub client"
},
{
"name": "HF_TOKEN",
"format": "string",
"description": "API key/token for Hugging Face service"
},
{
"name": "HTTPS_PROXY",
"format": "string",
"description": "HTTP proxy for requests"
},
{
"name": "INFERENCE_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Heroku service"
},
{
"name": "INFERENCE_URL",
"format": "string",
"description": "Host URL for Heroku service"
},
{
"name": "MISTRAL_API_KEY",
"format": "string",
"description": "Your Mistral API Key"
},
{
"name": "OPENAI_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for OpenAI-compatible services (not necessarily an API key *for* OpenAI). The OpenAI client also requires an API key, even if you don't actually need one for your provider (like local Ollama). So provide a dummy key if needed."
},
{
"name": "OPENAI_LOG",
"format": "string",
"choices": [
"error",
"warning",
"debug",
"info"
],
"description": "One of: 'debug', 'info', 'warning', 'error'"
},
{
"name": "QDRANT__LOG_LEVEL",
"format": "string",
"choices": [
"DEBUG",
"ERROR",
"INFO",
"WARNING"
],
"description": "Log level for Qdrant service"
},
{
"name": "QDRANT__SERVICE__API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Qdrant service"
},
{
"name": "QDRANT__SERVICE__ENABLE_TLS",
"format": "boolean",
"choices": [
"true",
"false"
],
"description": "Enable TLS for Qdrant service, expects truthy or false value (e.g. 1 for on, 0 for off)."
},
{
"name": "QDRANT__SERVICE__HOST",
"format": "string",
"description": "Hostname of the Qdrant service; do not use for URLs with schemes (e.g. 'http://')"
},
{
"name": "QDRANT__SERVICE__HTTP_PORT",
"format": "string",
"description": "Port number for the Qdrant service"
},
{
"name": "QDRANT__TLS__CERT",
"format": "filepath",
"description": "Path to the TLS certificate file for Qdrant service. Only needed if using a self-signed certificate. If you're using qdrant-cloud, you don't need this."
},
{
"name": "SSL_CERT_FILE",
"format": "string",
"description": "Path to the SSL certificate file for requests"
},
{
"name": "TAVILY_API_KEY",
"format": "string",
"description": "Your Tavily API Key"
},
{
"name": "TOGETHER_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Together service"
},
{
"name": "VERCEL_OIDC_TOKEN",
"format": "string",
"isSecret": true,
"description": "OIDC token for Vercel service"
},
{
"name": "VOYAGE_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Voyage service"
}
]
}
],
"repository": {
"id": "1024985391",
"url": "https://github.com/knitli/codeweaver",
"source": "github",
"subfolder": "src/codeweaver"
},
"websiteUrl": "https://github.com/knitli/codeweaver",
"description": "Semantic code search built for AI agents. Hybrid, AST-aware, context for 166 languages."
}