What Apollo.io API endpoints are exposed as tools?
Five tools are available: `people_enrichment`, `organization_enrichment`, `people_search`, `organization_search`, and `organization_job_postings`.
@edwardchoh
基本信息
MCP server that exposes the Apollo.io API functionalities as tools
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"apollo-io-mcp-server": {
"type": "stdio",
"command": "uv",
"args": [
"run",
"mcp",
"run",
"path/to/apollo-io-mcp-server/server.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An MCP server that exposes the Apollo.io API functionalities as tools, allowing interaction with the Apollo.io API via the Model Context Protocol (MCP). It is intended for developers who want to integrate Apollo.io data enrichment and search capabilities into MCP-compatible clients (e.g., Claude for Desktop).
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.
Five tools are available: `people_enrichment`, `organization_enrichment`, `people_search`, `organization_search`, and `organization_job_postings`.
The server requires Python, `uv` (for sync and running), and the packages listed (implicitly from `uv sync`). An Apollo.io API key is mandatory.
Authentication is via an Apollo.io API key set as the environment variable `APOLLO_IO_API_KEY` or in a `.env` file in the project root.
Yes. It uses the `stdio` transport. A sample configuration is provided in the README for `claude_desktop_config.json`.
The README does not mention any limitations or where data is processed. Data is sent to and from the Apollo.io API based on the user's queries.
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