Action Network MCP Server: All 23 Operations
Complete zero-config MCP server exposing every Action Network Tool operation to AI agents. Pre-built with full error handling for events, petitions, people, and more.
This workflow creates a fully functional MCP (Model Context Protocol) server that exposes all 23 operations of the Action Network Tool directly to AI agents. Simply import and activate it in your n8n instance to get a ready-to-use endpoint—no coding or configuration required. It leverages the official n8n Action Network integration with AI expressions like $fromAI() for seamless parameter passing.
The server includes dedicated nodes for every operation across categories like Attendance (create/get many), Events (create/get many), People (create/get/update many), Person Tags (add/remove), Petitions (create/get/update many), Signatures (create/get/update many), and Tags (create/get many). The MCP Trigger node handles incoming requests, routing them intelligently to the appropriate tool node with built-in error handling and responses formatted for AI consumption.
Ideal for developers building AI-powered apps for activism, event management, or advocacy campaigns. Benefits include massive time savings (hours of setup avoided), native AI compatibility, scalability for high-volume requests, and easy integration with tools like Claude or custom agents. Use cases: Automate petition drives, manage event RSVPs, track supporter data, or build chatbots for organizing—all via natural language AI prompts.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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