MCP Md Vector Search
@noriaki
基本信息
关于 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 配置
MCP Md Vector Search 工具
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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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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