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Apollo.io MCP Server

@edwardchoh

リポジトリ

基本情報

カテゴリ

その他

ライセンス

View license

トランスポート

stdio

作者

edwardchoh

投稿者

Edward Choh

Apollo.io MCP Server について

MCP server that exposes the Apollo.io API functionalities as tools

Apollo.io MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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 のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Apollo.io MCP Server?

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).

How to use Apollo.io MCP Server?

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.

Key features of Apollo.io MCP Server

  • 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.

Use cases of Apollo.io MCP Server

  • Enrich contact records with detailed person or company data.
  • Search for potential leads or target accounts by people or organization criteria.
  • Retrieve current job postings from a specific company for recruitment or market analysis.

よくある質問

1

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`.

2

What runtime dependencies are required?

The server requires Python, `uv` (for sync and running), and the packages listed (implicitly from `uv sync`). An Apollo.io API key is mandatory.

3

How does authentication work?

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.

4

Can this server be used with Claude for Desktop?

Yes. It uses the `stdio` transport. A sample configuration is provided in the README for `claude_desktop_config.json`.

5

Are there any known limitations or data residency considerations?

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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