mcp-local-rag and repo-graphrag-mcp

These are complements: the local RAG server provides basic semantic and keyword search capabilities, while the graph-based approach adds structured knowledge extraction and relationship mapping that could enhance or extend the retrieval layer for more complex codebase understanding.

mcp-local-rag
62
Established
repo-graphrag-mcp
42
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 22/25
Community 20/25
Maintenance 10/25
Adoption 3/25
Maturity 15/25
Community 14/25
Stars: 156
Forks: 32
Downloads: —
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 3
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

About mcp-local-rag

shinpr/mcp-local-rag

Local-first RAG server for developers using MCP. Semantic + keyword search for code and technical docs. Fully private, zero setup.

This tool helps developers quickly find answers within their technical documentation and codebase. You feed it your code, internal specs, research papers, or API docs (PDFs, Word docs, text files, or HTML from websites), and it provides relevant snippets in response to your questions. It's designed for developers who need to search their private, sensitive, or offline project documents.

developer-tools technical-documentation code-search private-data-management knowledge-retrieval

About repo-graphrag-mcp

yumeiriowl/repo-graphrag-mcp

An MCP server that uses LightRAG and Tree-sitter to build a repository knowledge graph from code and docs, for Q&A and implementation planning.

Related comparisons

mcp-local-rag and knowledge-to-action-mcp mcp-local-rag and mcp-rag-server mcp-local-rag and mcp-rag-server mcp-local-rag and mcp-ragchat mcp-local-rag and ragmap mcp-local-rag and srag

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