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
65
Established
repo-graphrag-mcp
36
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 22/25
Community 20/25
Maintenance 10/25
Adoption 3/25
Maturity 9/25
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.

Embeds documents locally using Ollama-compatible models, storing vectors in LanceDB for fast semantic + keyword hybrid search. Integrates with Cursor, Codex, and Claude Code via MCP protocol, while also offering a CLI interface for standalone indexing and querying without requiring an MCP client.

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.

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