st3v3nmw/sourcerer-mcp
MCP for semantic code search & navigation that reduces token waste
Uses Tree-sitter to parse code into semantic chunks (functions, classes, methods) and generates OpenAI embeddings for each, storing them in a persistent vector database (chromem-go) that automatically syncs with file changes via fsnotify. Exposes MCP tools for semantic search, chunk retrieval, and similarity matching, enabling Claude and other AI clients to query code conceptually rather than scanning entire files. Supports Go, Python, JavaScript, TypeScript, and Markdown with language coverage defined through Tree-sitter queries.
107 stars.
Stars
107
Forks
11
Language
Go
License
MIT
Category
Last pushed
Nov 10, 2025
Commits (30d)
0
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