exa-websets-mcp

adamanz/exa-websets-mcp

3.2

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The Exa Websets MCP Server is a Model Context Protocol server designed for interacting with Exa's Websets API, enabling the creation and management of websets for AI-driven web search and data collection.

Tools
  1. create_webset

    Create a new webset with custom search parameters.

  2. get_webset

    Get information about a specific webset.

  3. list_websets

    List all websets in your account.

  4. create_marketing_agencies_webset

    Quick template for creating marketing agency websets.

  5. create_tech_companies_webset

    Quick template for creating tech company websets.

Exa Websets MCP Server

A Model Context Protocol (MCP) server for interacting with Exa's Websets API. This server allows you to create and manage websets for AI-powered web search and data collection.

GitHub Python

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:

    pip install -r requirements.txt
    
  3. Set your Exa API key as an environment variable:

    export EXA_API_KEY="your-exa-api-key-here"
    

Usage

Running the Server

python server.py

By default, the server runs using STDIO transport for local tools. For web deployments, you can specify HTTP transport:

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:

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

{
  "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:

  1. Start the inspector:

    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.

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