Filesift
Exposes local codebase search through four MCP tools: filesift_search for natural language queries like "authentication middleware", filesift_find_related for discovering connected files via imports and semantic similarity, filesift_index for creating searchable indexes, and filesift_status for checking index state. Uses hybrid BM25 and FAISS vector search with reciprocal rank fusion to balance keyword matching and semantic understanding. Runs a background daemon that keeps embeddings in memory for fast queries after initial cold start. Everything stays local. Indexes live in a .filesift directory per project. Reach for this when your agent wastes tokens exploring codebases or grep falls short on intent-based searches.
- GitHub stars
- 6
- tools
- 4
- transport
- STDIO
- last updated
- Feb 26, 2026
Tools
4 toolsPublic tool metadata for what this MCP can expose to an agent.
filesift_searchsearch an indexed codebase by natural language query
search an indexed codebase by natural language query
No parameter schema in public metadata yet.
filesift_find_relatedfind files related to a given file via imports and semantic similarity
find files related to a given file via imports and semantic similarity
No parameter schema in public metadata yet.
filesift_indexindex a directory to enable searching
index a directory to enable searching
No parameter schema in public metadata yet.
filesift_statuscheck indexing status of a directory
check indexing status of a directory
No parameter schema in public metadata yet.
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FileSift
FileSift
A local, open-source utility that helps AI coding agents intelligently search and understand codebases.
FileSift lets your AI coding agent search across a codebase based on what code does, rather than what it looks like. Instead of sifting through entire files after a grep, your agent can jump straight to the most relevant code using natural language queries like "authentication middleware" or "database connection pooling". Everything runs locally on your machine — your code never leaves your environment.
Key benefits:
- Smarter search — hybrid keyword + semantic search finds code by intent, not just string matching
- Less context wasted — agents get pointed to the right files immediately, saving token budget on exploration
Installation
Details
- Repository
- github.com/roshunsunder/filesift
- Category
- Search & Web Crawling
- Package
filesift- Transport
- STDIO
- Registry
- MCP registry, active
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