Search across local files using hybrid BM25 and semantic search, all running offline without external APIs. Built for developers who need fast, private document retrieval integrated into AI workflows.
io.github.LocalSynapse/LocalSynapse-mcp
Local install
STDIO
No auth required
How models use it and what it is built for.
Search across local files using hybrid BM25 and semantic search, all running offline without external APIs. Built for developers who need fast, private document retrieval integrated into AI workflows.
Local install — runs as a subprocess.
Where to find authoritative docs and source for LocalSynapse - Local File Search.
Paste any of these into Agent Studio after connecting LocalSynapse - Local File Search.
Common questions about connecting and running LocalSynapse - Local File Search.
Does LocalSynapse require internet or external API calls?
No. LocalSynapse runs entirely offline on your machine, using BM25 and semantic search without sending data to external services. All indexing and retrieval happen locally.
What file types and formats does it search?
The registry indicates it searches across documents, but specific supported formats (PDF, Markdown, code, etc.) are not detailed in the available metadata. Check the GitHub repository for a complete list.
How do I set up LocalSynapse as an MCP server?
Download the binary from the releases page and configure it as a stdio transport in your MCP client. Exact setup steps are available in the repository documentation.
What's the difference between BM25 and semantic search in this server?
BM25 is keyword-based ranking (fast, exact matches), while semantic search finds conceptually similar content. LocalSynapse combines both for hybrid results that catch both exact terms and related concepts.
Is there a cost or licensing requirement?
The registry and install command do not mention pricing or licensing restrictions. Check the GitHub repository for license details and any usage terms.
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