Apollo.io MCP Server
About
MCP server that exposes the Apollo.io API functionalities as tools
Details
- Author
- edwardchoh
- Downloads
- 265
- Categories
- Other
Jump to
- People enrichment: enrich data for one person.
- Organization enrichment: enrich data for one company.
- People search: find people via Apollo.io.
- Organization search: find organizations via Apollo.io.
- Organization job postings: find job postings for a specific organization.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Apollo.io MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Set the APOLLO_IO_API_KEY environment variable (or create a .env file with it), install dependencies with uv sync, then run uv run mcp run server.py. For use with Claude for Desktop, add a configuration entry to claude_desktop_config.json using stdio transport and the uv run mcp run command pointing to server.py.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"apollo.io mcp server": {
"apollo-io-mcp-server": {
"type": "stdio",
"command": "uv",
"args": [
"run",
"mcp",
"run",
"path/to/apollo-io-mcp-server/server.py"
]
}
}
}
}McpServers
{
"apollo-io-mcp-server": {
"type": "stdio",
"command": "uv",
"args": [
"run",
"mcp",
"run",
"path/to/apollo-io-mcp-server/server.py"
]
}
}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
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