🛠️ TheHive tool MCP server

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2/3/2026

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Complete MCP server exposing all TheHive Tool operations to AI agents. Zero configuration needed - all 4 operations pre-built.

⚡ Quick Setup

Import this workflow into your n8n instance
Activate the workflow to start your MCP server
Copy the webhook URL from the MCP trigger node
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 TheHive Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n TheHive Tool tool with full error handling

📋 Available Operations (4 total)

Every possible TheHive Tool operation is included:

🔧 Alert (0 operations)

🔧 Case (0 operations)

🔧 Log (4 operations)

• Create a log • Execute a responder • Get many logs • Get a log

🔧 Observable (0 operations)

🔧 Task (0 operations)

🤖 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 TheHive 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 TheHive 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 TheHive Tool MCP Server

This n8n workflow provides a robust and flexible Model Context Protocol (MCP) server, designed to integrate with AI-driven tools, potentially for security operations or incident response within platforms like TheHive. It acts as a trigger, listening for incoming requests conforming to the MCP standard, and is ready to be extended with custom logic to process these requests.

What it does

This workflow currently consists of a single, powerful trigger node:

Listens for MCP Requests: The "MCP Server Trigger" node acts as an entry point, waiting for incoming Model Context Protocol (MCP) requests. This allows external AI models or tools to interact with n8n, providing context or requesting actions.

While the current workflow is minimal, it provides the foundational trigger for building sophisticated AI-driven automations.

Prerequisites/Requirements

n8n Instance: An active n8n instance where this workflow can be imported and run.
External MCP Client: An external system, AI model, or tool that sends requests conforming to the Model Context Protocol (MCP) to this n8n instance.

Setup/Usage

Import the Workflow:
- In your n8n instance, navigate to the "Workflows" section.
- Click "New" or "Import from JSON".
- Paste the provided JSON content into the import dialog.
Activate the Workflow:
- Once imported, ensure the workflow is active by toggling the "Active" switch in the top right corner.
Configure External Client:
- Configure your external MCP client (e.g., an AI tool, a script, or another n8n workflow) to send requests to the webhook URL exposed by the "MCP Server Trigger" node. You can find this URL by clicking on the "MCP Server Trigger" node and looking for the "Webhook URL" field in its settings.
Extend the Workflow:
- To make this workflow truly useful, you will need to add subsequent nodes to process the data received by the "MCP Server Trigger". This could include:
  - Parsing and extracting information from the incoming MCP request.
  - Interacting with TheHive: Creating alerts, cases, tasks, or observables.
  - Calling other APIs: Enriching data, performing lookups, or triggering external actions.
  - Sending notifications: Via Slack, email, or other communication channels.
  - Implementing conditional logic: To handle different types of MCP requests or data.

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