codebase-retrieval-context-engine 2.0.7

Code retrieval engine — hybrid embedding + graph search for LLM context injection.

codebase-retrieval-context-engine

Code retrieval engine for LLM context via MCP.

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Add to Claude Code

claude mcp add-json codebase-retrieval --scope user '{"type":"stdio","command":"uvx","args":["codebase-retrieval-context-engine"],"env":{"CORBELL_LLM_PROVIDER":"google","GOOGLE_API_KEY":"your-google-api-key","GOOGLE_MODEL":"gemini-3.1-flash-lite","CORBELL_EMBEDDING_MODEL":"voyage-4-lite","VOYAGE_API_KEY":"your-voyage-api-key"}}'

That's it. The AI agent passes workspace path and triggers index builds automatically.

Update

uv tool upgrade codebase-retrieval-context-engine

Or if installed via uvx (auto-managed):

uvx --upgrade codebase-retrieval-context-engine

Remove from Claude Code

claude mcp remove codebase-retrieval --scope user

After adding, you can also edit or remove the MCP config directly in ~/.claude.json.

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Environment variables

Variable	Description
CORBELL_LLM_PROVIDER	LLM provider for reranking (google, anthropic, openai)
GOOGLE_API_KEY	Google AI API key (supports multiple: key1,key2,key3)
GOOGLE_MODEL	e.g. gemini-3.1-flash-lite
CORBELL_EMBEDDING_MODEL	voyage-4-lite, voyage-code-3, or gemini-embedding-001
VOYAGE_API_KEY	Voyage AI API key (supports multiple: key1,key2,key3). Add a card to billing to unlock rate limits.

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License

Apache 2.0