LangSearch MCP

A language-based search MCP server that provides semantic search and document reranking capabilities.

Features

• Semantic web search
• Document reranking based on relevance
• Easy integration with MCP clients like Cherry Studio

Installation

You can install the package using pip:

pip install langsearch-mcp

Or install from source:

git clone https://github.com/yourusername/langsearch-mcp
cd langsearch-mcp
pip install .

Usage

As a Command Line Tool

After installation, you can run the MCP server directly from the command line:

langsearch-mcp

As an MCP Server

The server can be used with any MCP client, including Cherry Studio. The server provides the following endpoints:

• web_search: Perform semantic web search
• rerank_documents: Rerank documents based on relevance to a query

Configuration

The server can be configured using environment variables:

• PORT: The port to run the server on (default: 8000)
• Add any other environment variables your server uses

Development

To set up the development environment:

1. Clone the repository
2. Create a virtual environment: python -m venv .venv
3. Activate the virtual environment:
   • Windows: .venv\Scripts\activate
   • Unix/MacOS: source .venv/bin/activate
4. Install dependencies: pip install -e ".[dev]"

License

MIT License