đ ď¸ ProfitWell tool MCP server đŞ both operations
Complete MCP server exposing all ProfitWell Tool operations to AI agents. Zero configuration needed - all 2 operations pre-built.
⥠Quick Setup
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- 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
đ§ How it Works
⢠MCP Trigger: Serves as your server endpoint for AI agent requests
⢠Tool Nodes: Pre-configured for every ProfitWell Tool operation
⢠AI Expressions: Automatically populate parameters via $fromAI() placeholders
⢠Native Integration: Uses official n8n ProfitWell Tool tool with full error handling
đ Available Operations (2 total)
Every possible ProfitWell Tool operation is included:
đ§ Company (1 operations)
⢠Get settings for your company
đ§ Metric (1 operations)
⢠Get a metric
đ¤ 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 ProfitWell Tool API responses with full data structure
Error Handling: Built-in n8n error management and retry logic
đĄ 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 ProfitWell 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
> đ Free for community use! Ready to deploy in under 2 minutes.
n8n Workflow: MCP Server Trigger
This n8n workflow provides a basic setup for an MCP (Model Context Protocol) Server, acting as a trigger for AI-related operations. It's designed to listen for incoming requests that conform to the MCP specification, allowing other AI models or applications to interact with n8n as a context provider or processing unit.
What it does
This workflow currently consists of a single, essential step:
- Listens for MCP Requests: It uses the "MCP Server Trigger" node to act as an endpoint, waiting for incoming requests following the Model Context Protocol. This node is the entry point for any AI system or application that needs to send context or data to this n8n instance.
Prerequisites/Requirements
- n8n Instance: You need an active n8n instance where this workflow can be imported and run.
- Understanding of Model Context Protocol (MCP): To effectively use this workflow, you should be familiar with how the Model Context Protocol works and how other AI models or applications will interact with an MCP server.
Setup/Usage
- Import the workflow: Import the provided JSON into your n8n instance.
- Activate the workflow: Ensure the workflow is activated in n8n.
- Configure the MCP Server Trigger: The "MCP Server Trigger" node will automatically create an endpoint. You will need to note down the webhook URL provided by this trigger once the workflow is active.
- Integrate with your AI application: Configure your external AI model or application to send MCP-compliant requests to the webhook URL provided by this n8n workflow.
Note: This workflow currently only sets up the trigger. To make it perform useful actions, you would need to add subsequent nodes after the "MCP Server Trigger" to process the incoming MCP requests (e.g., extract data, call other APIs, store information, or respond with processed context).
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