What is Apollo Io Mcp Server

The apollo-io-mcp-server is an MCP server that exposes the functionalities of the Apollo.io API as tools, allowing users to interact with the API using the Model Context Protocol.

Use cases

Use cases include enriching individual profiles with additional data, searching for potential clients or candidates, and retrieving job postings from specific organizations.

How to use

To use the apollo-io-mcp-server, set the ‘APOLLO_IO_API_KEY’ environment variable with your Apollo.io API key, install dependencies using ‘uv sync’, and run the server with ‘uv run mcp run server.py’.

Key features

Key features include people enrichment, organization enrichment, people search, organization search, and organization job postings, all accessible as MCP tools.

Where to use

The apollo-io-mcp-server can be used in various fields such as sales, marketing, and recruitment, where data enrichment and organization insights are essential.

Apollo.io MCP Server

This project provides an MCP server that exposes the Apollo.io API functionalities as tools. It allows you to interact with the Apollo.io API using the Model Context Protocol (MCP).

Overview

The project consists of the following main components:

• apollo_client.py: Defines the ApolloClient class, which is used to interact with the Apollo.io API. It includes methods for people enrichment, organization enrichment, people search, organization search, and organization job postings.
• server.py: Defines the FastMCP server, which exposes the Apollo.io API functionalities as tools. It uses the ApolloClient class defined in apollo_client.py to interact with the API.
• apollo/: Contains the data models for the Apollo.io API, such as PeopleEnrichmentQuery, OrganizationEnrichmentQuery, PeopleSearchQuery, OrganizationSearchQuery, and OrganizationJobPostingsQuery.

Functionalities

The following functionalities are exposed as MCP tools:

• people_enrichment: Use the People Enrichment endpoint to enrich data for 1 person.
• organization_enrichment: Use the Organization Enrichment endpoint to enrich data for 1 company.
• people_search: Use the People Search endpoint to find people.
• organization_search: Use the Organization Search endpoint to find organizations.
• organization_job_postings: Use the Organization Job Postings endpoint to find job postings for a specific organization.

Usage

To use this MCP server, you need to:

1. Set the APOLLO_IO_API_KEY environment variable with your Apollo.io API key. Or create ‘.env’ file in the project root with APOLLO_IO_API_KEY.
2. Get dependencies: uv sync
3. Run the uv run mcp run server.py

Data Models

The apollo/ directory contains the data models for the Apollo.io API. These models are used to define the input and output of the MCP tools.

• apollo/people.py: Defines the data models for the People Enrichment endpoint.
• apollo/organization.py: Defines the data models for the Organization Enrichment endpoint.
• apollo/people_search.py: Defines the data models for the People Search endpoint.
• apollo/organization_search.py: Defines the data models for the Organization Search endpoint.
• apollo/organization_job_postings.py: Defines the data models for the Organization Job Postings endpoint.

Testing

To test, set APOLLO_IO_API_KEY environment variable and run uv run apollo_client.py.

Usage with Claude for Desktop

1. Configure Claude for Desktop to use these MCP servers by adding them to your claude_desktop_config.json file:

{
  "mcpServers": {
    "apollo-io-mcp-server": {
      "type": "stdio",
      "command": "uv",
      "args": [
        "run",
        "mcp",
        "run",
        "path/to/apollo-io-mcp-server/server.py"
      ]
    }
  }
}

Resources

• Apollo.io API Documentation
• MCP Protocol Documentation
• Claude for Desktop Documentation