What are the prerequisites for using Jampp MCP Server?
Python 3.10 or higher and Jampp API credentials (Client ID and Client Secret) are required.
@springwq
基本情報
概要はまだありません
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": {
"jampp_mcp_server": {
"command": "python",
"args": [
"jampp_mcp_server.py"
]
}
}
}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。
The Jampp MCP Server provides access to the Jampp Reporting API through the Model Context Protocol, enabling LLMs to fetch campaign performance data. It handles OAuth 2.0 authentication with automatic token refresh, GraphQL-based API integration, and offers tools for spend reporting, performance metrics, and asynchronous report generation.
Install dependencies with uv or pip, set JAMPP_CLIENT_ID and JAMPP_CLIENT_SECRET environment variables in a .env file, then run python jampp_mcp_server.py directly, use mcp dev jampp_mcp_server.py with the MCP Inspector, or configure Claude Desktop by adding the server to its claude_desktop_config.json and restarting the application.
Python 3.10 or higher and Jampp API credentials (Client ID and Client Secret) are required.
Set the environment variables `JAMPP_CLIENT_ID` and `JAMPP_CLIENT_SECRET` in a `.env` file or in the Claude Desktop configuration. The server handles OAuth 2.0 authentication and automatic token refresh.
The server provides seven tools: `get_campaign_spend`, `get_campaign_daily_spend`, `get_campaign_performance`, `create_async_report`, `get_async_report_status`, `get_async_report_results`, and `get_available_metrics_and_dimensions`.
Add the server configuration to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows), specifying the Python command, script path, and API credentials as environment variables, then restart Claude Desktop.
Yes, you can run the server directly with `python jampp_mcp_server.py` or use it with the MCP Inspector via `mcp dev jampp_mcp_server.py` for development and testing.

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