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MCP Md Vector Search

@noriaki

Repository

Basic information

Category

Memory & Knowledge

License

MIT license

Transports

stdio

Author

noriaki

About MCP Md Vector Search

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).

MCP Md Vector Search config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Md Vector Search tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

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?

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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

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FAQ from mcp-md-vector-search

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Comments

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