cq27-dev/rag-rat
by Various
Local repo-intelligence index + MCP server: semantic search, symbol/graph navigation, impact-surface preflight, git + GitHub papertrail, and a source-anchored memory graph.
MCP
cq27-dev/rag-rat
Added 13 July 2026
Overview
Rag-rat is a local repository intelligence tool that indexes codebases for semantic search, symbol navigation, and impact analysis. It operates as an MCP (Model Context Protocol) server and integrates with git and GitHub to provide a change history trail. The tool builds a source-anchored memory graph to support contextual code understanding.
Best for
Best for
Developers needing local semantic code search and impact analysis
Use cases
- Semantically search across a local codebase
- Navigate symbol dependencies and graph relationships
- Preflight impact surfaces before making changes
How to use
Install
npm install -g @rag-rat/bin Tools exposed
rag-rat
Tested with
Claude Code, Codex, Cursor
Example client config
{\n "mcpServers": {\n "rag-rat": { "command": "rag-rat", "args": ["mcp"] }\n }\n} Notes
Rag-rat is a local repository intelligence tool that indexes codebases for semantic search, symbol navigation, and impact analysis. It operates as an MCP (Model Context Protocol) server and integrates with git and GitHub to provide a change history trail. The tool builds a source-anchored memory graph to support contextual code understanding.
8 stars on GitHub. Last updated 2026-07-13. Licensed MIT.
Use cases
- Semantically search across a local codebase
- Navigate symbol dependencies and graph relationships
- Preflight impact surfaces before making changes
Pros
- Operates locally without external cloud dependencies
- Rust implementation offers fast indexing and queries
- Integrates with git and GitHub for change audit trail
Cons
- Small community and limited documentation due to its early stage (8 stars)
- Requires familiarity with the MCP protocol for integration
- May have overhead for very large repositories
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Operates locally without external cloud dependencies
- Rust implementation offers fast indexing and queries
- Integrates with git and GitHub for change audit trail
Cons
- Small community and limited documentation due to its early stage (8 stars)
- Requires familiarity with the MCP protocol for integration
- May have overhead for very large repositories
Pairs with
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