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).
what is mcp-md-vector-search?
mcp-md-vector-search is a lightweight server implementation that utilizes PGLite and pgvector to conduct efficient similarity searches on local Markdown documents using the Model Context Protocol (MCP).
how to use mcp-md-vector-search?
To use mcp-md-vector-search, set up the server and provide it with local Markdown documents. You can then perform similarity searches by querying the server with specific terms or phrases.
key features of mcp-md-vector-search?
- Lightweight server implementation for fast searches
- Utilizes PGLite and pgvector for efficient processing
- Supports similarity searches on Markdown documents
use cases of mcp-md-vector-search?
- Finding related Markdown documents based on content similarity.
- Assisting researchers in locating relevant literature quickly.
- Enhancing document management systems with search capabilities.
FAQ from mcp-md-vector-search?
- What types of documents can be searched?
The server is designed to work with local Markdown documents.
- Is mcp-md-vector-search open source?
Yes! It is available under the MIT license.
- How can I contribute to the project?
Contributions are welcome! You can submit issues or pull requests on the GitHub repository.
what is mcp-md-vector-search?
mcp-md-vector-search is a lightweight server implementation that utilizes PGLite and pgvector to conduct efficient similarity searches on local Markdown documents using the Model Context Protocol (MCP).
how to use mcp-md-vector-search?
To use mcp-md-vector-search, set up the server and provide it with local Markdown documents. You can then perform similarity searches by querying the server with specific terms or phrases.
key features of mcp-md-vector-search?
- Lightweight server implementation for fast searches
- Utilizes PGLite and pgvector for efficient processing
- Supports similarity searches on Markdown documents
use cases of mcp-md-vector-search?
- Finding related Markdown documents based on content similarity.
- Assisting researchers in locating relevant literature quickly.
- Enhancing document management systems with search capabilities.
FAQ from mcp-md-vector-search?
- What types of documents can be searched?
The server is designed to work with local Markdown documents.
- Is mcp-md-vector-search open source?
Yes! It is available under the MIT license.
- How can I contribute to the project?
Contributions are welcome! You can submit issues or pull requests on the GitHub repository.