LangSearch MCP Server

A Model Context Protocol (MCP) server that provides access to LangSearch's Web Search API and Semantic Rerank API. This server enables AI assistants to perform web searches and rerank search results based on semantic relevance.

Features

• Web Search: Search the web with advanced filtering options (freshness, result count, summaries)

• Semantic Rerank: Rerank documents based on semantic relevance to a query

Tools

1. langsearch_web_search

Search the web using LangSearch's Web Search API.

Parameters:

• query (string, required): The search query

• freshness (string, optional): Filter results by freshness - "noLimit" (default), "onLimit", "day", "week", "month"

• summary (boolean, optional): Include full summaries in results (default: true)

• count (number, optional): Number of results to return (1-50, default: 10)

Returns:

• Structured search results with titles, URLs, snippets, and optional summaries

• Query context and metadata

2. langsearch_semantic_rerank

Rerank documents based on semantic relevance to a query.

Parameters:

• query (string, required): The search query to compare against documents

• documents (array of strings, required): List of document texts to rerank

• top_n (number, optional): Number of top results to return (default: all documents)

• return_documents (boolean, optional): Whether to include document text in response (default: true)

Returns:

• Reranked documents with relevance scores (0-1 scale)

• Original document indices and optional text content

Installation

1. Clone or download this repository

2. Install dependencies:

3. Build the project:

4. Copy .env.example to .env and add your LangSearch API key:

5. Edit .env and set your API key:

Getting a LangSearch API Key

Visit LangSearch to sign up and obtain an API key.

Usage

With Claude Desktop

Add the server to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

Replace /absolute/path/to/langsearch-mcp-ts with the actual path to this project directory.

After configuration, restart Claude Desktop. The LangSearch tools will be available in your conversations.

Standalone Mode

Standalone Mode

Development Mode

Run the server in development mode with auto-reload:

Production Mode

Build and run the compiled server:

Testing with MCP Inspector

Test the server using the MCP Inspector:

Then select "stdio" transport and provide the path to the server executable.

Configuration

The server uses environment variables for configuration:

• LANGSEARCH_API_KEY (required): Your LangSearch API key

• LANGSEARCH_BASE_URL (optional): Custom API base URL (default: https://api.langsearch.com)

Example Usage

Web Search Example

Semantic Rerank Example

API References

• LangSearch Web Search API Documentation

• LangSearch Semantic Rerank API Documentation

Error Handling

The server implements comprehensive error handling:

• Invalid API keys return clear error messages

• Network errors are caught and reported

• Input validation ensures correct parameter types and ranges

• All errors are returned with isError: true flag

TypeScript

This server is written in TypeScript with full type safety. All API responses and tool parameters are properly typed using zod schemas for runtime validation.

License

MIT