MCP Md Vector Search
@noriaki
基本情報
MCP Md Vector Search について
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 の設定
MCP Md Vector Search のツール
ツール一覧はまだありません
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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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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