Potencia tu agente
El comando propio del publicador. No es un endpoint de PlugMCP.
Host a copy with our keys and logs.
npx -y [email protected]Claude Code no tiene enlace de instalación para un comando local. Copia el comando de abajo y ejecútalo en una terminal.
claude mcp add mcp-local-rag -- npx -y mcp-local-rag@0.23.3Ejecútalo en una terminal.
{ "mcpServers": { "mcp-local-rag": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
¿URL remota o un comando en tu máquina? En qué se diferencian las dos instalaciones
Ejecutar en PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
Abrirmcp-local-rag indexes PDF, DOCX, Markdown, and text files on your machine. Search combines semantic similarity with keyword matching, so queries can match both intent and exact technical terms such as API names, class names, and error codes. Results include source passages and, where available, headings, line numbers, or page numbers so you can check and cite the original document.
No API key, Docker, Python, or external database is required. After the initial model download, text ingestion and search work offline.
Set BASE_DIR to that directory. It is also the security boundary for file operations. Replace
/absolute/path/to/your/documents below with the directory's absolute path.
Use one of the examples below, or register npx -y mcp-local-rag and set BASE_DIR using your
client's MCP configuration format.
Set DB_PATH and CACHE_DIR to absolute paths as well. Relative paths resolve from the
server's working directory, so starting the server from different projects creates a separate
index and model cache in each.
Run this command:
claude mcp add local-rag --scope user --env BASE_DIR=/absolute/path/to/your/documents -- npx -y mcp-local-rag
Add to ~/.codex/config.toml:
[mcp_servers.local-rag]
command = "npx"
args = ["-y", "mcp-local-rag"]
[mcp_servers.local-rag.env]
BASE_DIR = "/absolute/path/to/your/documents"
Add to ~/.config/opencode/opencode.json (or opencode.jsonc):
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"local-rag": {
"type": "local",
"command": ["npx", "-y", "mcp-local-rag"],
"environment": {
"BASE_DIR": "/absolute/path/to/your/documents"
}
}
}
}
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"local-rag": {
"command": "npx",
"args": ["-y", "mcp-local-rag"],
"env": {
"BASE_DIR": "/absolute/path/to/your/documents"
}
}
}
}
Restart the client, then ask it to build the index:
Sync all documents in the configured root and wait until it finishes.
The first sync downloads the default embedding model (about 90 MB) and may take 1–2 minutes before ingestion starts. Later runs use the local cache.
Once the sync completes:
What does the API documentation say about authentication?
To use the CLI without an MCP client:
npx mcp-local-rag ingest ./docs/
npx mcp-local-rag query "authentication API"
The CLI uses the current directory as its document root by default. Run both commands from the
same directory so they use the same default index, or set BASE_DIR and DB_PATH explicitly.
HTML fetching is not built into the server. An MCP client can fetch a page and pass its HTML to
ingest_data.
Excel, PowerPoint, standalone images, and source-code file extensions are not supported by file ingestion. PDFs can optionally use a local vision model to describe figures, but this is not OCR or image search.
Sync after adding, editing, or removing documents. For searches and follow-up reading, ask your MCP client:
Find the documented behavior of ERR_CONNECTION_REFUSED.
Read the surrounding chunks for that result.
You can also ingest a single file or HTML already fetched by the client. To refresh an existing
entry, ingest the document again using the same path or source identifier. sync skips unchanged
files. MCP file paths must be absolute and inside a configured document root.
PDF section headings may be inaccurate. Check the original page when you need the exact heading.
Use the CLI to update the index, narrow searches, or remove indexed content:
npx mcp-local-rag sync ./docs/
npx mcp-local-rag query "auth" --scope /docs/api --scope /docs/guide
npx mcp-local-rag read-neighbors --file-path /abs/path.md --chunk-index 5
npx mcp-local-rag list
npx mcp-local-rag status
npx mcp-local-rag delete ./docs/old.pdf
npx mcp-local-rag delete --source "https://example.com/docs"
ingest imports the selected files; sync also removes entries for deleted files and skips
unchanged files. Use --scope to restrict search results to a path prefix, repeating it to
include multiple prefixes.
Global options such as --db-path, --cache-dir, and --model-name go before the subcommand.
Subcommand options go after it:
npx mcp-local-rag --db-path ./my-db query "authentication"
Run npx mcp-local-rag --help for the complete command reference.
query writes its results to stdout as JSON, best match first, so it can be piped into another
tool. The field-by-field contract is in
docs/schema/query-output.schema.json.
If you move a project and want to keep its index, stop the MCP server and other database writers, move the files and database together without changing the directory layout, then run:
npx mcp-local-rag --db-path /new/project/lancedb relocate --from /old/project --to /new/project
Update BASE_DIR/BASE_DIRS, DB_PATH, and any other moved paths in your MCP configuration,
then restart the client.
Agent Skills provide query and ingestion guidance for AI assistants:
npx mcp-local-rag skills install --claude-code
npx mcp-local-rag skills install --claude-code --global
npx mcp-local-rag skills install --codex
Installed skills cover query formulation, result refinement, and HTML ingestion. Ask the assistant to use the mcp-local-rag skill explicitly if it does not activate automatically.
Start with the defaults. Open the sections below when you need different document roots, better results for your corpus, or searchable PDF figures.
The MCP server reads environment variables. The CLI accepts the listed variables and flags.
Keep the same DB_PATH when commands should use the same index.
File operations stay within configured roots. For multiple directories, set
BASE_DIRS='["/absolute/docs","/absolute/specs"]' or repeat CLI --base-dir. Precedence: CLI
roots, BASE_DIRS, BASE_DIR, then the current directory. Only the highest-priority source is
used; roots from different sources are not merged. Invalid BASE_DIRS is an error. Relative
DB_PATH and CACHE_DIR are resolved from the working directory.
To keep files out of the index, set IGNORE_PATHS to a JSON array of glob patterns, for example
IGNORE_PATHS='["plugs/**","**/*.draft.md"]'. Each pattern is matched against the file's path
relative to the root that contains it, written with / on every OS. * and ** do not match
names that start with ., so write such directories out, as in ".obsidian/**". ingest,
list, and sync skip matching files when they scan a directory, and sync removes any that
are already indexed. Invalid IGNORE_PATHS is an error.
Choose an embedding model for your documents’ language and subject. Compare settings using questions you actually ask and check which source passages are returned. The model must support mean pooling and L2 normalization, which this tool uses to produce embeddings.
Both prefix options default to false and work independently. Try EMBED_TITLE_PREFIX when a
passage needs the document’s overall topic, or EMBED_HEADING_PREFIX when it needs its
section’s topic. Enabling both is not always better. They affect embeddings, not the returned
text or keyword index; heading context is omitted when it would exceed the input budget.
When changing embedding models, build a fresh index at a new DB_PATH. Vectors from different
models are not comparable, even when their dimensions match. After changing RAG_DTYPE or
either prefix option, re-ingest all indexed documents before searching. sync skips unchanged
files.
The CLI does not read MCP client configuration. When sharing an index, use the same model,
RAG_DTYPE, and prefix settings for ingestion and search. A change to RAG_DEVICE alone does
not require a new index.
The first four settings below apply to both MCP and CLI queries. To give exact terms more
weight, try increasing RAG_HYBRID_WEIGHT and compare results on your own questions. External
reranking is MCP-only.
RAG_RERANK_CMD)The command reads search results, including matched text, from stdin. If it calls a remote service, that text may leave your machine.
Give the executable and its complete argument template. Put {query} and {top} where the
command expects the query and result count. Single or double quotes group paths or arguments
containing spaces, and backslashes stay literal. The server runs the executable without a
shell, so an npm-installed .cmd shim on Windows will not start.
{
"env": {
"RAG_RERANK_CMD": "/path/to/reranker --query {query} --top {top}",
"RAG_RERANK_TIMEOUT_MS": "10000"
}
}
The command must read and return results in the format defined by the query output schema. It can remove or reorder results and modify their text. The server returns its output.
Results keep their original order if the command fails, times out, or returns output that does not match the schema.
By default, ingestion indexes only text. To make PDF figures searchable, enable local caption
generation with visual: true in MCP or --visual in the CLI. Captions are generated
descriptions, not OCR or exact transcriptions.
fast (default) downloads about 250 MB on first use. Choose quality for labels and text
within figures; it downloads about 1.7 GB and takes longer to run.
Select the profile with visualQuality: "quality" in MCP or --visual-quality quality in the
CLI.
npx mcp-local-rag ingest ./docs/paper.pdf --visual --visual-quality quality
To return images with matching text, use STORE_IMAGES=true in MCP or --images with CLI
ingest and sync. This is independent of caption generation and supports detected PDF
figures/tables and supported DOCX PNG/JPEG images.
npx mcp-local-rag ingest ./docs/paper.pdf --images
Sync preserves each PDF's caption profile. CLI sync --visual --visual-quality quality changes
the profile even for unchanged PDFs; MCP sync preserves it. To turn captions off, ingest the
file normally. To retry failed captions, re-ingest with the desired visual profile.
Image storage must be enabled on each ingestion or sync that processes the file. Changing the image setting alone does not refresh unchanged files; re-ingest them to apply it.
BASE_DIR, BASE_DIRS, or CLI --base-dir roots.RAG_RERANK_CMD names a command that makes them.DB_PATH. Read-only queries can run
while a sync is active.DB_PATH/embedding-cache. Deleting it
leaves the index searchable, but later ingestion will recompute those embeddings.DB_PATH directory while no writer is active.Documents must be ingested first. Run "List all ingested files" to verify. If results are
missing after a sync, check that ingestion and search use the same absolute DB_PATH; a
relative path may point to a different index.
Check internet connection. If behind a proxy, configure network settings. The model can also be downloaded manually.
Default limit is 100MB. Split large files or increase MAX_FILE_SIZE.
Check chunk count with status. Large documents with many chunks may slow queries. Consider
splitting very large files.
Ensure file paths are within one of the configured roots (BASE_DIR, any BASE_DIRS entry, or
any CLI --base-dir). Use absolute paths.
BASE_DIRS accepts a JSON array of one or more non-empty path strings:
BASE_DIRS='["/Users/me/work","/Users/me/specs"]'BASE_DIRS=/a:/b (delimiter syntax not supported)BASE_DIRS='[]' (empty array)npx mcp-local-rag should run without errorsContributions welcome! See CONTRIBUTING.md for setup and guidelines.
MIT License. Free for personal and commercial use.
Built with Model Context Protocol by Anthropic, LanceDB, and Transformers.js.
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
{ "mcpServers": { "mcp-local-rag": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}Herramientas
Aún no hay lista de herramientas. Los servidores remotos la reciben tras la primera comprobación de estado.
Preguntas frecuentes
Copia en esta página la configuración stdio para Cursor, Claude Desktop, Claude Code o VS Code. Usa la instalación del publicador, no un proxy de PlugMCP.
Este registro no indica ninguna variable de entorno obligatoria.
MCP Local Rag se ejecuta localmente por stdio.
Última comprobación: 2026-11-15. Local RAG MCP Server - Easy-to-setup document search with minimal configuration