{
"mcpServers": {
"apollo-io-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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apollo.io mcp server typescript
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MIT. View license →
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Last commit 356 days ago. 38 stars.
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Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
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A powerful Model Context Protocol (MCP) server implementation for seamless Apollo.io API integration, enabling AI assistants to interact with Apollo.io data.
This MCP server provides a comprehensive set of tools for interacting with the Apollo.io API, allowing AI assistants to:
# Clone the repository
git clone https://github.com/lkm1developer/apollo-io-mcp-server.git
cd apollo-io-mcp-server
# Install dependencies
npm install
# Build the project
npm run build
The server requires an Apollo.io API access token. You can obtain one by:
You can provide the token in two ways:
As an environment variable:
APOLLO_IO_API_KEY=your-api-key
As a command-line argument:
npm start -- --api-key=your-api-key
For development, create a .env file in the project root to store your environment variables:
APOLLO_IO_API_KEY=your-api-key
# Start the server
npm start
# Or with a specific API key
npm start -- --api-key=your-api-key
# Run the SSE server with authentication
npx mcp-proxy-auth node dist/index.js
The SSE server uses the mcp-proxy-auth package for authentication. To implement authentication:
Install the package:
npm install mcp-proxy-auth
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
Run the SSE server with authentication:
npx mcp-proxy-auth node dist/index.js
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:
This MCP server is designed to work with AI assistants that support the Model Context Protocol. Once running, the server exposes a set of tools that can be used by compatible AI assistants to interact with Apollo.io data.
The server exposes the following powerful Apollo.io integration tools: