Clado MCP Server

This is an official Model Context Protocol (MCP) Server for Clado.

For detailed API documentation and usage examples, visit the official Clado documentation.

More information about the Model Context Protocol can be found here.

Table of Contents

• Installation
• Usage
• Tools
• Configuration
• License

Installation

Manual Installation

To install the server, run:

npx @cladoai/mcp 

Running on Cursor

Add to ~/.cursor/mcp.json like this:

{
  "mcpServers": {
    "clado": {
      "command": "npx",
      "args": ["-y", "@cladoai/mcp"],
      "env": {
        "CLADO_API_KEY": "YOUR-API-KEY"
      }
    }
  }
}

Running on Windsurf

Add to your ./codeium/windsurf/model_config.json like this:

{
  "mcpServers": {
    "clado": {
      "command": "npx",
      "args": ["-y", "@cladoai/mcp"],
      "env": {
        "CLADO_API_KEY": "YOUR-API-KEY"
      }
    }
  }
}

Claude Desktop app

This is an example config for the Clado MCP server for the Claude Desktop client.

{
  "mcpServers": {
    "clado": {
      "command": "npx",
      "args": ["--yes", "@cladoai/mcp"],
      "env": {
        "CLADO_API_KEY": "your-api-key"
      }
    }
  }
}

Tools

• search_for_users - Search for LinkedIn users with filters like query, school, and match threshold
• enrich_linkedin - Retrieves detailed profile information for a specific LinkedIn URL (1 credit per lookup)
• retrieve_contacts - Retrieves email addresses and phone numbers for a LinkedIn profile (1 credit per lookup)
• scrape_linkedin - Retrieves detailed profile data and posts with comments from a LinkedIn profile URL (2 credits per request)
• linkedin_post_reactions - Retrieves reactions and engagement data for a specific LinkedIn post URL
• initiate_deep_research - Start a deep research job for comprehensive LinkedIn data gathering
• check_deep_research_status - Check the status of an ongoing deep research job

License

This project is licensed under the MIT License.