mcp-local-rag
CommunitySearch and expand your private docs
Software Engineering#semantic search#developer productivity#mcp server#context expansion#local rag#pdf ingestion
Authorshinpr
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It solves the problem of finding and correctly answering questions from your own documents quickly, without exposing data to external services.
Core Features & Use Cases
- Hybrid semantic + keyword search with boosts: Retrieves relevant chunks by combining vector search with BM25-style keyword matching for exact technical terms.
- On-demand context expansion: Improves grounded answers by reading neighboring semantic chunks when a hit lacks enough surrounding explanation.
- Local ingestion and management: Ingest local files or raw content, update via re-ingest, and manage indexing with list, status, and delete operations.
- PDF-friendly ingestion (including optional visual captions): Optionally extracts figure/table/diagram captions from PDFs using a local VLM for searchable visual content.
Quick Start
Ask the AI to ingest your documents and then query: Ingest api-spec.pdf, then ask: What does the API documentation say about authentication?
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mcp-local-rag Download link: https://github.com/shinpr/mcp-local-rag/archive/main.zip#mcp-local-rag Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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