brilliant-directories-mcp
v6.58.2
io.github.brilliantdirectories/brilliant-directories-mcp
Official MCP server for Brilliant Directories — manage members, posts, leads, reviews, and more.
io.github.shinpr/mcp-local-rag · v0.15.4
Easy-to-setup local RAG server with minimal configuration
mcp-local-rag 是一个MCP Server,收录自 官方 MCP Registry。支持 stdio 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。
选择你的平台查看安装方式
{
"mcpServers": {
"mcp-local-rag": {
"command": "npx",
"args": [
"-y",
"mcp-local-rag"
]
}
}
}BASE_DIR可选Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set.
BASE_DIRS可选JSON array of base directories (e.g. '["/a","/b"]'). Takes precedence over BASE_DIR.
DB_PATH可选Path to LanceDB database directory (defaults to ./lancedb/)
CACHE_DIR可选Directory where Transformers.js models are cached (defaults to ./models/)
MODEL_NAME可选Embedding model name (defaults to Xenova/all-MiniLM-L6-v2)
MAX_FILE_SIZE可选Maximum file size in bytes (defaults to 104857600 / 100MB)
RAG_MAX_DISTANCE可选Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only)
RAG_GROUPING可选Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter
RAG_MAX_FILES可选Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering.
CHUNK_MIN_LENGTH可选Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion.
RAG_DEVICE可选Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error.
RAG_DTYPE可选Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data.
RAG_HYBRID_WEIGHT可选Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score.
v6.58.2
io.github.brilliantdirectories/brilliant-directories-mcp
Official MCP server for Brilliant Directories — manage members, posts, leads, reviews, and more.
v3.1.0
io.github.pvliesdonk/markdown-vault-mcp
Markdown vault MCP server with FTS5 + semantic search and frontmatter indexing
v0.3.0
io.github.opendata-kr/narajangteo-opening
나라장터 낙찰정보서비스 Open API를 위한 로컬 MCP 서버
v3.10.1
io.github.webdriverio/mcp
MCP server with WebdriverIO for browser and mobile app automation (iOS/Android via Appium)
v0.0.53
io.github.cablate/google-map
18 Google Maps tools for AI agents — geocode, search, directions, weather, and more.
v1.0.0
ai.arpi/arpi-mcp
AI-powered ECG analysis: submit ECG images and receive diagnosis reports from ARPI's ECG AI.
{
"id": "io.github.shinpr/mcp-local-rag",
"type": "mcp-server",
"version": "0.15.4",
"displayName": "mcp-local-rag",
"description": "Easy-to-setup local RAG server with minimal configuration",
"repository": {
"url": "https://github.com/shinpr/mcp-local-rag",
"source": "github"
},
"distribution": {
"packages": [
{
"registryType": "npm",
"identifier": "mcp-local-rag",
"version": "0.15.4",
"transport": "stdio",
"environmentVariables": [
{
"name": "BASE_DIR",
"description": "Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set."
},
{
"name": "BASE_DIRS",
"description": "JSON array of base directories (e.g. '[\"/a\",\"/b\"]'). Takes precedence over BASE_DIR."
},
{
"name": "DB_PATH",
"description": "Path to LanceDB database directory (defaults to ./lancedb/)"
},
{
"name": "CACHE_DIR",
"description": "Directory where Transformers.js models are cached (defaults to ./models/)"
},
{
"name": "MODEL_NAME",
"description": "Embedding model name (defaults to Xenova/all-MiniLM-L6-v2)"
},
{
"name": "MAX_FILE_SIZE",
"description": "Maximum file size in bytes (defaults to 104857600 / 100MB)"
},
{
"name": "RAG_MAX_DISTANCE",
"description": "Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only)"
},
{
"name": "RAG_GROUPING",
"description": "Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter"
},
{
"name": "RAG_MAX_FILES",
"description": "Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering."
},
{
"name": "CHUNK_MIN_LENGTH",
"description": "Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion."
},
{
"name": "RAG_DEVICE",
"description": "Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error."
},
{
"name": "RAG_DTYPE",
"description": "Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data."
},
{
"name": "RAG_HYBRID_WEIGHT",
"description": "Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score."
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.shinpr/mcp-local-rag",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.shinpr%2Fmcp-local-rag/versions/latest",
"isOfficial": true,
"status": "active"
}
}