What NiFi versions are supported?
The server has been tested with Apache NiFi versions 1.23 and 1.28 but should also work with 2.x as long as the NiFi REST API remains consistent.
@ms82119
基本情報
An MCP Server and client for communicating with Nifi (v1.28)
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": {
"NiFiMCP": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}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。
NiFiMCP is a Model Context Protocol server that lets you interact with Apache NiFi instances using natural language. It provides around 30 tools for building, updating, running, debugging, and documenting NiFi flows, and can be used either as a plain MCP server (stdio) for IDEs like Cursor AI or Claude Code, or with a built-in chatbot accessible from a browser.
Clone the repository, set up a virtual environment, install dependencies with uv sync, and configure your NiFi server details and LLM API keys in config.yaml. For MCP client use, run uv run python -m nifi_mcp_server.stdio_server as the server command. For the built-in chatbot, start the MCP backend with uvicorn nifi_mcp_server.server:app --reload --port 8000 and the chat UI web server with uvicorn api.main:app --reload --port 3000, then open http://localhost:3000 in a browser.
The server has been tested with Apache NiFi versions 1.23 and 1.28 but should also work with 2.x as long as the NiFi REST API remains consistent.
LLM API keys are only required if you use the built-in chatbot. When connecting via a stdio MCP client (e.g., Cursor AI), no external API key is needed for the server itself.
The stdio server works with any MCP-capable client and is recommended; the built-in chatbot is an alternative if you cannot use an external MCP client and need a browser-based interface.
You must provide a `config.yaml` file with at least one NiFi server URL. For the built-in chatbot, additional LLM API keys must be set in the same configuration file.
Yes, the MCP backend port can be set using the `MCP_SERVER_PORT` environment variable (default 8000), and the chat UI port is configurable via the `--port` flag.
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