mcp-md-vector-search
@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).
Basic information
Config
No standard config provided
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RepositoryTools
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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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