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Index local files for Claude to search and cite internal documents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "localdocs-mcp" yet — see the docs or source repo.
Search my indexed local documents for “expense approval” and “travel policy,” summarize the findings, and include citable source excerpts.
Relevant document passages, a concise summary, and traceable citations to the sources.
Search local project materials for meeting notes, proposals, and decisions related to “pricing changes,” organize them chronologically, and cite the sources.
A chronological decision timeline with citations to the corresponding documents.
Find materials in my indexed files that are semantically related to “customer churn warning,” even if the exact keywords do not match, and list the most relevant results.
A ranked list of semantically related results with relevance and source citations.
Researchers or knowledge workers can have Claude search indexed personal files to quickly find supporting internal materials and cite the sources.
Product managers or office workers can retrieve past decisions and context from local documents, notes, and files, reducing manual file searching.
When keywords are incomplete or phrased differently, the tool combines BM25 and semantic search to help Claude find more relevant internal content.
It is a local document search MCP server that indexes personal files and provides hybrid BM25 plus semantic search so Claude can find and cite internal materials.
Based on the description, it indexes and searches personal local files and internal materials. For exact supported file types and scope, see the source repository.
The provided material does not include installation steps, runtime requirements, or key requirements. Please see the source repository for setup details.
Search local Word and PDF files to answer document-based questions.
Enable local task management, file operations, document generation, and PDF indexing for Claude.
Index local documents and run hybrid semantic-keyword search on-device.
Delegate summarization, classification, extraction, and drafting tasks to a local LLM.
Securely let AI read, search, and edit local files with local LLMs.
Search and read indexed local documents with full-text and fuzzy matching.