Servers
mcp-md-vector-search
@noriaki
A lightweight MCP server implementation that leverages PGLite and pgvector to perform efficient similarity searches on local Markdown documents using the Model Context Protocol (MCP).
Overview
What is mcp-md-vector-search?
It is a lightweight MCP server that uses PGLite and pgvector to perform efficient similarity searches on local Markdown documents via the Model Context Protocol (MCP).
How to use mcp-md-vector-search?
—
Key features of mcp-md-vector-search
- Lightweight MCP server implementation.
- Uses PGLite for database management.
- Leverages pgvector for vector similarity search.
- Performs efficient similarity searches on local Markdown documents.
- Integrates with the Model Context Protocol (MCP).
Use cases of mcp-md-vector-search
—
FAQ from mcp-md-vector-search
—
