Search / io.github.olk/agent-pattern-mcp
Agent Pattern MCP
L0· runs locallyMCP server that provides AI agent pattern expertise for designing agent systems
v1.0.4 · active · repository · descriptor JSON · versions
Search / io.github.olk/agent-pattern-mcp
L0· runs locallyMCP server that provides AI agent pattern expertise for designing agent systems
v1.0.4 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"agent-pattern-mcp": {
"command": "docker",
"args": [
"--add-host",
"host.docker.internal:host-gateway",
"-e",
"GENERATOR_API_KEY",
"-e",
"GENERATOR_PROVIDER",
"-e",
"GENERATOR_MODEL",
"-e",
"PATTERN_DIRECTORY",
"-e",
"EMBEDDER_PROVIDER",
"-e",
"EMBEDDER_API_KEY",
"docker.io/olkowa/agent-pattern-mcp:1.0.4",
"--transport",
"stdio"
],
"env": {
"GENERATOR_API_KEY": "${GENERATOR_API_KEY}",
"GENERATOR_PROVIDER": "openai",
"GENERATOR_MODEL": "gpt-4o-mini",
"PATTERN_DIRECTORY": "/app/pattern",
"EMBEDDER_PROVIDER": "tei",
"EMBEDDER_API_KEY": "${EMBEDDER_API_KEY}"
}
}
}
}claude mcp add agent-pattern-mcp -e "GENERATOR_API_KEY=${GENERATOR_API_KEY}" -e "GENERATOR_PROVIDER=openai" -e "GENERATOR_MODEL=gpt-4o-mini" -e "PATTERN_DIRECTORY=/app/pattern" -e "EMBEDDER_PROVIDER=tei" -e "EMBEDDER_API_KEY=${EMBEDDER_API_KEY}" -- docker --add-host host.docker.internal:host-gateway -e GENERATOR_API_KEY -e GENERATOR_PROVIDER -e GENERATOR_MODEL -e PATTERN_DIRECTORY -e EMBEDDER_PROVIDER -e EMBEDDER_API_KEY docker.io/olkowa/agent-pattern-mcp:1.0.4 --transport stdio[mcp_servers.agent-pattern-mcp]
command = "docker"
args = ["--add-host", "host.docker.internal:host-gateway", "-e", "GENERATOR_API_KEY", "-e", "GENERATOR_PROVIDER", "-e", "GENERATOR_MODEL", "-e", "PATTERN_DIRECTORY", "-e", "EMBEDDER_PROVIDER", "-e", "EMBEDDER_API_KEY", "docker.io/olkowa/agent-pattern-mcp:1.0.4", "--transport", "stdio"]
env = { "GENERATOR_API_KEY" = "${GENERATOR_API_KEY}", "GENERATOR_PROVIDER" = "openai", "GENERATOR_MODEL" = "gpt-4o-mini", "PATTERN_DIRECTORY" = "/app/pattern", "EMBEDDER_PROVIDER" = "tei", "EMBEDDER_API_KEY" = "${EMBEDDER_API_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"agent-pattern-mcp": {
"type": "local",
"command": [
"docker",
"--add-host",
"host.docker.internal:host-gateway",
"-e",
"GENERATOR_API_KEY",
"-e",
"GENERATOR_PROVIDER",
"-e",
"GENERATOR_MODEL",
"-e",
"PATTERN_DIRECTORY",
"-e",
"EMBEDDER_PROVIDER",
"-e",
"EMBEDDER_API_KEY",
"docker.io/olkowa/agent-pattern-mcp:1.0.4",
"--transport",
"stdio"
],
"enabled": true,
"environment": {
"GENERATOR_API_KEY": "{env:GENERATOR_API_KEY}",
"GENERATOR_PROVIDER": "openai",
"GENERATOR_MODEL": "gpt-4o-mini",
"PATTERN_DIRECTORY": "/app/pattern",
"EMBEDDER_PROVIDER": "tei",
"EMBEDDER_API_KEY": "{env:EMBEDDER_API_KEY}"
}
}
}
}{
"mcpServers": {
"agent-pattern-mcp": {
"command": "docker",
"args": [
"--add-host",
"host.docker.internal:host-gateway",
"-e",
"GENERATOR_API_KEY",
"-e",
"GENERATOR_PROVIDER",
"-e",
"GENERATOR_MODEL",
"-e",
"PATTERN_DIRECTORY",
"-e",
"EMBEDDER_PROVIDER",
"-e",
"EMBEDDER_API_KEY",
"docker.io/olkowa/agent-pattern-mcp:1.0.4",
"--transport",
"stdio"
],
"env": {
"GENERATOR_API_KEY": "${GENERATOR_API_KEY}",
"GENERATOR_PROVIDER": "openai",
"GENERATOR_MODEL": "gpt-4o-mini",
"PATTERN_DIRECTORY": "/app/pattern",
"EMBEDDER_PROVIDER": "tei",
"EMBEDDER_API_KEY": "${EMBEDDER_API_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=agent-pattern-mcp&config=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%3D"
}{
"servers": {
"agent-pattern-mcp": {
"type": "stdio",
"command": "docker",
"args": [
"--add-host",
"host.docker.internal:host-gateway",
"-e",
"GENERATOR_API_KEY",
"-e",
"GENERATOR_PROVIDER",
"-e",
"GENERATOR_MODEL",
"-e",
"PATTERN_DIRECTORY",
"-e",
"EMBEDDER_PROVIDER",
"-e",
"EMBEDDER_API_KEY",
"docker.io/olkowa/agent-pattern-mcp:1.0.4",
"--transport",
"stdio"
],
"env": {
"GENERATOR_API_KEY": "${GENERATOR_API_KEY}",
"GENERATOR_PROVIDER": "openai",
"GENERATOR_MODEL": "gpt-4o-mini",
"PATTERN_DIRECTORY": "/app/pattern",
"EMBEDDER_PROVIDER": "tei",
"EMBEDDER_API_KEY": "${EMBEDDER_API_KEY}"
}
}
}
}{
"mcpServers": {
"agent-pattern-mcp": {
"command": "docker",
"args": [
"--add-host",
"host.docker.internal:host-gateway",
"-e",
"GENERATOR_API_KEY",
"-e",
"GENERATOR_PROVIDER",
"-e",
"GENERATOR_MODEL",
"-e",
"PATTERN_DIRECTORY",
"-e",
"EMBEDDER_PROVIDER",
"-e",
"EMBEDDER_API_KEY",
"docker.io/olkowa/agent-pattern-mcp:1.0.4",
"--transport",
"stdio"
],
"env": {
"GENERATOR_API_KEY": "${GENERATOR_API_KEY}",
"GENERATOR_PROVIDER": "openai",
"GENERATOR_MODEL": "gpt-4o-mini",
"PATTERN_DIRECTORY": "/app/pattern",
"EMBEDDER_PROVIDER": "tei",
"EMBEDDER_API_KEY": "${EMBEDDER_API_KEY}"
}
}
}
}extensions:
"agent-pattern-mcp":
enabled: true
name: "agent-pattern-mcp"
type: stdio
cmd: "docker"
args:
- "--add-host"
- "host.docker.internal:host-gateway"
- "-e"
- "GENERATOR_API_KEY"
- "-e"
- "GENERATOR_PROVIDER"
- "-e"
- "GENERATOR_MODEL"
- "-e"
- "PATTERN_DIRECTORY"
- "-e"
- "EMBEDDER_PROVIDER"
- "-e"
- "EMBEDDER_API_KEY"
- "docker.io/olkowa/agent-pattern-mcp:1.0.4"
- "--transport"
- "stdio"
envs:
"GENERATOR_API_KEY": "${GENERATOR_API_KEY}"
"GENERATOR_PROVIDER": "openai"
"GENERATOR_MODEL": "gpt-4o-mini"
"PATTERN_DIRECTORY": "/app/pattern"
"EMBEDDER_PROVIDER": "tei"
"EMBEDDER_API_KEY": "${EMBEDDER_API_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${GENERATOR_API_KEY}, ${EMBEDDER_API_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo ~liveness-unmeasured +updated-10d-ago -unpinned-packages(1)
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
docker.io/olkowa/agent-pattern-mcp:1.0.4 | oci | unpinned | docker | GENERATOR_API_KEY, EMBEDDER_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.olk/agent-pattern-mcp",
"title": "Agent Pattern MCP",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.4",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "docker.io/olkowa/agent-pattern-mcp:1.0.4",
"runtimeHint": "docker",
"registryType": "oci",
"packageArguments": [
{
"type": "positional",
"value": "--transport"
},
{
"type": "positional",
"value": "stdio"
}
],
"runtimeArguments": [
{
"name": "--add-host",
"type": "named",
"value": "host.docker.internal:host-gateway",
"description": "Makes a TEI embedder/reranker running on the Docker host reachable from the container (needed on Linux; already provided by Docker Desktop)."
}
],
"environmentVariables": [
{
"name": "GENERATOR_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "API key for the generator LLM (LiteLLM provider)."
},
{
"name": "GENERATOR_PROVIDER",
"format": "string",
"default": "openai",
"description": "LiteLLM provider prefix, e.g. openai, anthropic, openrouter, minimax."
},
{
"name": "GENERATOR_MODEL",
"format": "string",
"default": "gpt-4o-mini",
"description": "Model name, combined as <provider>/<model> via LiteLLM."
},
{
"name": "GENERATOR_BASE_URL",
"format": "string",
"description": "OpenAI-compatible base URL (LiteLLM api_base)."
},
{
"name": "PATTERN_DIRECTORY",
"format": "string",
"default": "/app/pattern",
"description": "Directory with *-pattern.json files. The image bakes the 61-pattern catalog at /app/pattern."
},
{
"name": "EMBEDDER_PROVIDER",
"format": "string",
"default": "tei",
"description": "Embedding backend for pattern retrieval: tei, openai, ollama, vllm or hosted_vllm."
},
{
"name": "EMBEDDER_BASE_URL",
"format": "string",
"description": "Embedder endpoint. For TEI sidecars on the host use http://host.docker.internal:8080/v1 (add --add-host=host.docker.internal:host-gateway on Linux)."
},
{
"name": "EMBEDDER_API_KEY",
"format": "string",
"default": "not-needed",
"isSecret": true,
"description": "API key for the embedder. Required for startup even with keyless TEI; use 'not-needed' there."
},
{
"name": "RERANKER_BASE_URL",
"format": "string",
"description": "TEI cross-encoder reranker endpoint used during pattern retrieval."
}
]
}
],
"repository": {
"url": "https://github.com/olk/agent-pattern-mcp",
"source": "github"
},
"description": "MCP server that provides AI agent pattern expertise for designing agent systems"
}