Apollo.io MCP Server
About
A Model Context Protocol (MCP) server that integrates with the Apollo.io API, enabling AI assistants to enrich people and organization data, search for people and organizations, and find job postings for specific organizations.
Details
- License
- MIT
Explore
- Seamless integration with AI assistants via Model Context Protocol
- Perform Apollo.io operations through natural language commands
- Enrich people and organizations with real‑time Apollo.io data
- Search for people, organizations, and job postings
- Secure API token authentication
- Extensible design for adding new Apollo.io capabilities
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
npm install
npx mcp-proxy-auth node dist/index.js
The SSE server uses the mcp-proxy-auth package for authentication. To implement authentication:
1. Install the package:
npm install mcp-proxy-auth
2. Set the AUTH_SERVER_URL environment variable to point to your API key verification endpoint:
export AUTH_SERVER_URL=https://your-auth-server.com/verify
3. Run the SSE server with authentication:
npx mcp-proxy-auth node dist/index.js
4. The SSE URL will be available at:
localhost:8080/sse?apiKey=apikey
Replace apikey with your actual API key for authentication.
The mcp-proxy-auth package acts as a proxy that:
- Intercepts requests to your SSE server
- Verifies API keys against your authentication server
- Only allows authenticated requests to reach your SSE endpoint
first_name
(string, optional): Person's first name
last_name
(string, optional): Person's last name
email
(string, optional): Person's email address
domain
(string, optional): Company domain
organization_name
(string, optional): Organization name
name
(string, optional): Company name
q_organization_domains_list
(array, optional): List of organization domains to search within
person_titles
(array, optional): List of job titles to search for
person_seniorities
(array, optional): List of seniority levels to search for
organization_locations
(array, optional): List of organization locations to search for
organization_id
(string, required): Apollo.io organization ID
The server exposes the following powerful Apollo.io integration tools:
1. people_enrichment
- Use the People Enrichment endpoint to enrich data for 1 person
- Parameters:
- first_name (string, optional): Person's first name
- last_name (string, optional): Person's last name
- email (string, optional): Person's email address
- domain (string, optional): Company domain
- organization_name (string, optional): Organization name
- Example:
{
"first_name": "John",
"last_name": "Doe",
"email": "[email protected]"
}
2. organization_enrichment
- Use the Organization Enrichment endpoint to enrich data for 1 company
- Parameters:
- domain (string, optional): Company domain
- name (string, optional): Company name
- Example:
{
"domain": "apollo.io"
}
3. people_search
- Use the People Search endpoint to find people
- Parameters:
- q_organization_domains_list (array, optional): List of organization domains to search within
- person_titles (array, optional): List of job titles to search for
- person_seniorities (array, optional): List of seniority levels to search for
- Example:
{
"person_titles": ["Marketing Manager"],
"person_seniorities": ["vp"],
"q_organization_domains_list": ["apollo.io"]
}
4. organization_search
- Use the Organization Search endpoint to find organizations
- Parameters:
- q_organization_domains_list (array, optional): List of organization domains to search for
- organization_locations (array, optional): List of organization locations to search for
- Example:
{
"organization_locations": ["Japan", "Ireland"]
}
5. organization_job_postings
- Use the Organization Job Postings endpoint to find job postings for a specific organization
- Parameters:
- organization_id (string, required): Apollo.io organization ID
- Example:
{
"organization_id": "5e60b6381c85b4008c83"
}
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"apollo.io mcp server": {
"apollo-io-mcp-server-meerkats-ai": {
"command": "npx",
"args": [
"mcp-proxy-auth",
"node",
"dist/index.js"
]
}
}
}
}McpServers
{
"apollo-io-mcp-server-meerkats-ai": {
"command": "npx",
"args": [
"mcp-proxy-auth",
"node",
"dist/index.js"
]
}
}
A powerful Model Context Protocol (MCP) server implementation for seamless Apollo.io API integration, enabling AI assistants to interact with Apollo.io data.
Overview
This MCP server provides a comprehensive set of tools for interacting with the Apollo.io API, allowing AI assistants to:
- Enrich data for people and organizations
- Search for people and organizations
- Find job postings for specific organizations
- Perform Apollo.io operations without leaving your AI assistant interface
Why Use This MCP Server?
- Seamless AI Integration: Connect your AI assistants directly to Apollo.io data
- Simplified API Operations: Perform common Apollo.io tasks through natural language commands
- Real-time Data Access: Get up-to-date information from Apollo.io
- Secure Authentication: Uses Apollo.io's secure API token authentication
- Extensible Design: Easily add more Apollo.io API capabilities as needed
Installation
```bash
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