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🛠️ Freshdesk tool MCP server 💪 all 10 operations

David AshbyDavid Ashby
135 views
2/3/2026
User ManagementData TransformationHTTP RequestLoopingAPI Integration
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Complete MCP server exposing all Freshdesk Tool operations to AI agents. Zero configuration needed - all 10 operations pre-built.

⚡ Quick Setup

  1. Import this workflow into your n8n instance
  2. Activate the workflow to start your MCP server
  3. Copy the webhook URL from the MCP trigger node
  4. Connect AI agents using the MCP URL

🔧 How it Works

• MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every Freshdesk Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Freshdesk Tool tool with full error handling

📋 Available Operations (10 total)

Every possible Freshdesk Tool operation is included:

📇 Contact (5 operations)

• Create a contact • Delete a contact • Get a contact • Get many contacts • Update a contact

🔧 Ticket (5 operations)

• Create a ticket • Delete a ticket • Get a ticket • Get many tickets • Update a ticket

🤖 AI Integration

Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options

Response Format: Native Freshdesk Tool API responses with full data structure

Error Handling: Built-in n8n error management and retry logic

💡 Usage Examples

Connect this MCP server to any AI agent or workflow:

• Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints

✨ Benefits

• Complete Coverage: Every Freshdesk Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic

> 🆓 Free for community use! Ready to deploy in under 2 minutes.

n8n MCP Server Workflow for AI Model Context Protocol

This n8n workflow provides a robust foundation for interacting with the Model Context Protocol (MCP) server. It simplifies the process of receiving and processing requests from AI models or other systems that adhere to the MCP standard.

What it does

This workflow is designed to act as an MCP server endpoint within n8n.

  1. Listens for MCP Requests: It uses the MCP Server Trigger node to listen for incoming requests that conform to the Model Context Protocol. This node acts as the entry point for your AI models or other systems to send context-related information or commands.
  2. Provides a Starting Point: The workflow, as defined, provides a barebones MCP server trigger, ready for further expansion. It includes a Sticky Note for documentation or initial thoughts.

Prerequisites/Requirements

  • n8n Instance: An active n8n instance where this workflow can be imported and run.
  • Model Context Protocol (MCP) Compliant Client: An AI model or system that is configured to send requests to this n8n workflow's MCP server endpoint.

Setup/Usage

  1. Import the Workflow:
    • Copy the provided JSON code.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the "Import" button (up arrow icon) and paste the JSON code.
    • Click "Import".
  2. Activate the Workflow: Ensure the workflow is activated by toggling the "Active" switch in the top right corner of the workflow editor.
  3. Configure MCP Client: Configure your AI model or MCP-compliant client to send requests to the URL provided by the MCP Server Trigger node. You can find this URL by clicking on the MCP Server Trigger node and looking at its configuration.
  4. Extend the Workflow: This workflow provides the trigger. You will need to add subsequent nodes to process the incoming MCP requests. For example, you might add:
    • Conditional Logic: To handle different types of MCP operations (e.g., tool_code, tool_description).
    • Data Processing: To extract relevant information from the incoming request.
    • External API Calls: To interact with other services based on the MCP request (e.g., calling a Freshdesk API, interacting with a database).
    • Response Handling: To send a response back to the MCP client.

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