Skip to main content
Glama

Exa Websets MCP Server

by adamanz
MIT License
  • Apple
README.md4.35 kB
# Exa Websets MCP Server A Model Context Protocol (MCP) server for interacting with [Exa's Websets API](https://docs.exa.ai/reference/websets). This server allows you to create and manage websets for AI-powered web search and data collection. [![GitHub](https://img.shields.io/badge/GitHub-exa--websets--mcp-blue?logo=github)](https://github.com/adamanz/exa-websets-mcp) [![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE) [![Python](https://img.shields.io/badge/Python-3.8+-blue.svg)](https://python.org) ## Features - **Create Websets**: Create new websets with customizable search queries - **Manage Websets**: Get information about existing websets and list all websets - **Predefined Templates**: Quick creation of common webset types (marketing agencies, tech companies) - **Full API Support**: Complete integration with Exa's webset creation parameters ## Installation 1. Clone or download this repository 2. Install dependencies: ```bash pip install -r requirements.txt ``` 3. Set your Exa API key as an environment variable: ```bash export EXA_API_KEY="your-exa-api-key-here" ``` ## Usage ### Running the Server ```bash python server.py ``` By default, the server runs using STDIO transport for local tools. For web deployments, you can specify HTTP transport: ```bash python server.py --transport http --port 8000 ``` ### Available Tools #### `create_webset` Create a new webset with custom search parameters. **Parameters:** - `query` (required): Natural language search query - `count`: Number of items to find (default: 10) - `entity`: Entity type (company, person, article, research_paper) - `external_id`: External identifier for easier reference - `criteria`: List of criteria descriptions for evaluation - `recall`: Whether to provide recall estimates - `metadata`: Key-value metadata pairs **Example:** ```python create_webset( query="AI startups in Europe that raised Series A funding in 2024", count=15, entity="company", external_id="ai-startups-europe-series-a" ) ``` #### `get_webset` Get information about a specific webset. **Parameters:** - `webset_id` (required): The unique identifier for the webset #### `list_websets` List all websets in your account. #### `create_marketing_agencies_webset` Quick template for creating marketing agency websets. **Parameters:** - `location`: Geographic location (default: "US") - `focus`: Focus area or specialization (default: "consumer products") - `count`: Number of agencies to find (default: 10) #### `create_tech_companies_webset` Quick template for creating tech company websets. **Parameters:** - `location`: Geographic location (default: "San Francisco") - `stage`: Company stage (e.g., "startup", "Series A", "public") - `count`: Number of companies to find (default: 10) ## Adding to Claude Desktop To use this server with Claude Desktop, add it to your configuration file: **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` ```json { "mcpServers": { "exa-websets": { "command": "/path/to/your/venv/bin/python", "args": ["/path/to/exa-websets-mcp/server.py"], "env": { "EXA_API_KEY": "your-exa-api-key-here" } } } } ``` ## Testing with MCP Inspector You can test this server using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector): 1. Start the inspector: ```bash npx @modelcontextprotocol/inspector ``` 2. Connect to your server using the STDIO transport with the path to your `server.py` file. ## Configuration The server uses the following environment variables: - `EXA_API_KEY`: Your Exa API key (required) ## API Reference This server implements the Exa Websets API endpoints: - `POST /v0/websets` - Create a webset - `GET /v0/websets/{id}` - Get a webset - `GET /v0/websets` - List websets For full API documentation, see [Exa's API Reference](https://docs.exa.ai/reference/websets). ## Contributing Contributions are welcome! Please feel free to submit a Pull Request. ## License This project is open source and available under the MIT License. ## Acknowledgments - Built with [FastMCP](https://github.com/jlowin/fastmcp) framework - Uses [Exa's Websets API](https://exa.ai/) for AI-powered web search

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/adamanz/exa-websets-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server