Search / io.github.tarazou9/garnet-mcp
garnet-mcp
L0· runs locallyRAG memory for LLM agents over Garnet Vector Sets: store text as embeddings, recall by meaning.
v0.1.2 · active · repository · descriptor JSON · versions
Search / io.github.tarazou9/garnet-mcp
L0· runs locallyRAG memory for LLM agents over Garnet Vector Sets: store text as embeddings, recall by meaning.
v0.1.2 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"garnet-mcp": {
"command": "dnx",
"args": [
"[email protected]",
"--yes"
]
}
}
}claude mcp add garnet-mcp -- dnx [email protected] --yes[mcp_servers.garnet-mcp]
command = "dnx"
args = ["[email protected]", "--yes"]
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"garnet-mcp": {
"type": "local",
"command": [
"dnx",
"[email protected]",
"--yes"
],
"enabled": true
}
}
}{
"mcpServers": {
"garnet-mcp": {
"command": "dnx",
"args": [
"[email protected]",
"--yes"
]
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=garnet-mcp&config=eyJjb21tYW5kIjoiZG54IiwiYXJncyI6WyJHYXJuZXRNY3AuU2VydmVyQDAuMS4yIiwiLS15ZXMiXX0%3D"
}{
"servers": {
"garnet-mcp": {
"type": "stdio",
"command": "dnx",
"args": [
"[email protected]",
"--yes"
]
}
}
}{
"mcpServers": {
"garnet-mcp": {
"command": "dnx",
"args": [
"[email protected]",
"--yes"
]
}
}
}extensions:
"garnet-mcp":
enabled: true
name: "garnet-mcp"
type: stdio
cmd: "dnx"
args:
- "[email protected]"
- "--yes"
timeout: 300
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-71d-ago
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 |
|---|---|---|---|---|
GarnetMcp.Server | nuget | 0.1.2 | – |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.tarazou9/garnet-mcp",
"title": "garnet-mcp",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-10-17/server.schema.json",
"version": "0.1.2",
"packages": [
{
"version": "0.1.2",
"transport": {
"type": "stdio"
},
"identifier": "GarnetMcp.Server",
"registryType": "nuget",
"registryBaseUrl": "https://api.nuget.org/v3/index.json",
"environmentVariables": [
{
"name": "Garnet__Host",
"value": "{garnet_host}",
"variables": {
"garnet_host": {
"description": "Hostname of the Garnet (or any Redis-compatible) server. Defaults to 127.0.0.1 when left blank."
}
}
},
{
"name": "Garnet__Port",
"value": "{garnet_port}",
"variables": {
"garnet_port": {
"description": "Port of the Garnet server. Defaults to 6379 when left blank."
}
}
},
{
"name": "Embeddings__Provider",
"value": "{embeddings_provider}",
"variables": {
"embeddings_provider": {
"description": "Embedding provider: 'AzureOpenAI' for real embeddings, or 'Fake' for a deterministic offline provider (no external calls)."
}
}
},
{
"name": "Embeddings__Endpoint",
"value": "{embeddings_endpoint}",
"variables": {
"embeddings_endpoint": {
"description": "Azure OpenAI endpoint, e.g. https://YOUR-RESOURCE.openai.azure.com/ (required when Embeddings__Provider=AzureOpenAI). Authenticated keyless via DefaultAzureCredential."
}
}
},
{
"name": "Embeddings__DeploymentName",
"value": "{embeddings_deployment}",
"variables": {
"embeddings_deployment": {
"description": "Azure OpenAI embedding deployment name, e.g. text-embedding-3-small."
}
}
},
{
"name": "Embeddings__Dimensions",
"value": "{embeddings_dimensions}",
"variables": {
"embeddings_dimensions": {
"description": "Embedding vector dimensions, e.g. 1536 for text-embedding-3-small."
}
}
}
]
}
],
"repository": {
"url": "https://github.com/tarazou9/garnet-mcp",
"source": "github"
},
"description": "RAG memory for LLM agents over Garnet Vector Sets: store text as embeddings, recall by meaning."
}