File hash verification for AI agents with hashlookup CIRCL API
Complete MCP server exposing 11 hashlookup CIRCL API operations to AI agents.
β‘ Quick Setup
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- Import this workflow into your n8n instance
- Credentials Add hashlookup CIRCL API credentials
- Activate the workflow to start your MCP server
- Copy the webhook URL from the MCP trigger node
- Connect AI agents using the MCP URL
π§ How it Works
This workflow converts the hashlookup CIRCL API into an MCP-compatible interface for AI agents.
β’ MCP Trigger: Serves as your server endpoint for AI agent requests
β’ HTTP Request Nodes: Handle API calls to https://hashlookup.circl.lu
β’ AI Expressions: Automatically populate parameters via $fromAI() placeholders
β’ Native Integration: Returns responses directly to the AI agent
π Available Operations (11 total)
π§ Bulk (2 endpoints)
β’ POST /bulk/md5: Bulk Search MD5 Hashes β’ POST /bulk/sha1: Bulk Search SHA1 Hashes
π§ Children (1 endpoints)
β’ GET /children/{sha1}/{count}/{cursor}: Return children from a given SHA1. A number of element to return and an offset must be given. If not set it will be the 100 first elements. A cursor must be given to paginate over. The starting cursor is 0.
π§ Info (1 endpoints)
β’ GET /info: Get Database Info
π§ Lookup (3 endpoints)
β’ GET /lookup/md5/{md5}: Lookup MD5. β’ GET /lookup/sha1/{sha1}: Lookup SHA-1. β’ GET /lookup/sha256/{sha256}: Lookup SHA-256.
π§ Parents (1 endpoints)
β’ GET /parents/{sha1}/{count}/{cursor}: Return parents from a given SHA1. A number of element to return and an offset must be given. If not set it will be the 100 first elements. A cursor must be given to paginate over. The starting cursor is 0.
π§ Session (2 endpoints)
β’ GET /session/create/{name}: Create a session key to keep search context. The session is attached to a name. After the session is created, the header hashlookup_session can be set to the session name.
β’ GET /session/get/{name}: Return set of matching and non-matching hashes from a session.
π§ Stats (1 endpoints)
β’ GET /stats/top: Get Top Queries
π€ AI Integration
Parameter Handling: AI agents automatically provide values for: β’ Path parameters and identifiers β’ Query parameters and filters β’ Request body data β’ Headers and authentication
Response Format: Native hashlookup CIRCL API responses with full data structure
Error Handling: Built-in n8n HTTP request error management
π‘ Usage Examples
Connect this MCP server to any AI agent or workflow:
β’ Claude Desktop: Add MCP server URL to configuration β’ Cursor: Add MCP server SSE URL to configuration β’ Custom AI Apps: Use MCP URL as tool endpoint β’ API Integration: Direct HTTP calls to MCP endpoints
β¨ Benefits
β’ Zero Setup: No parameter mapping or configuration needed
β’ AI-Ready: Built-in $fromAI() expressions for all parameters
β’ Production Ready: Native n8n HTTP request handling and logging
β’ Extensible: Easily modify or add custom logic
> π Free for community use! Ready to deploy in under 2 minutes.
n8n Workflow: Basic MCP Server Trigger
This n8n workflow demonstrates a simple setup for receiving triggers from an MCP (Model Context Protocol) Server. It serves as a foundational template for building more complex AI agent interactions.
What it does
This workflow performs a single, fundamental action:
- Listens for MCP Triggers: It uses the "MCP Server Trigger" node to listen for incoming requests from an MCP server. When a request is received, the workflow is activated.
Prerequisites/Requirements
- n8n Instance: An active n8n instance where this workflow can be imported and run.
- MCP Server: An external Model Context Protocol (MCP) server or application that will send requests to this n8n workflow.
Setup/Usage
- Import the Workflow:
- Download the workflow JSON provided.
- In your n8n instance, go to "Workflows" and click "New".
- Click the "Import from JSON" button and paste the workflow JSON.
- Click "Import".
- Activate the Workflow:
- Once imported, ensure the workflow is active by toggling the "Active" switch in the top right corner of the workflow editor.
- Configure MCP Server (External):
- You will need to configure your external MCP server or application to send requests to the webhook URL provided by the "MCP Server Trigger" node.
- To find the webhook URL, click on the "MCP Server Trigger" node in the workflow editor. The URL will be displayed in the node's configuration panel.
- Test the Workflow:
- Send a request from your MCP server to the webhook URL.
- Observe the execution history in n8n to confirm that the workflow was triggered successfully.
This workflow is a starting point. You can expand it by adding more nodes after the "MCP Server Trigger" to process the incoming data, interact with other services, or perform complex AI-related tasks.
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