Codebase RAG
A self-hosted code search server that indexes local codebases using vector embeddings stored in ChromaDB. Supports Python AST-based chunking for Python files and character-based chunking for other languages, with hybrid search combining vector similarity and keyword reranking for improved relevance. Provides tools for semantic code search, project reindexing, file listing, and content retrieval across multi-project setups. Includes automation scripts for auto-discovery of Git repositories, file-watching with debounced reindexing, and post-commit Git hooks for incremental updates.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- PulseMCP
- Repository
- github.com/di5rupt0r/codebase-rag
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Codebase RAG from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.