Codebase RAG
This MCP server provides semantic codebase search and file retrieval using CocoIndex embeddings and PostgreSQL with pgvector for similarity search. Built by allentcm, it integrates with the Voyage API for code-specific embeddings (voyage-code-3 model) and offers three core tools: semantic code search that returns relevant snippets with similarity scores and line numbers, file listing from the tracking table, and complete file content retrieval. The implementation uses CocoIndex's transform flow system for embedding generation, supports Docker deployment with environment-based configuration, and is designed for AI assistants that need to understand and navigate large codebases through natural language queries rather than traditional keyword-based search.
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
- database
- Source
- PulseMCP
- Repository
- github.com/allentcm/mcp-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.