š ļø Sentry.io tool MCP server šŖ all 25 operations
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Complete MCP server exposing all Sentry.io Tool operations to AI agents. Zero configuration needed - all 25 operations pre-built.
ā” 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
š§ How it Works
⢠MCP Trigger: Serves as your server endpoint for AI agent requests
⢠Tool Nodes: Pre-configured for every Sentry.io Tool operation
⢠AI Expressions: Automatically populate parameters via $fromAI() placeholders
⢠Native Integration: Uses official n8n Sentry.io Tool tool with full error handling
š Available Operations (25 total)
Every possible Sentry.io Tool operation is included:
š Event (2 operations)
⢠Get an event ⢠Get many events
š Issue (4 operations)
⢠Delete an issue ⢠Get an issue ⢠Get many issues ⢠Update an issue
š¢ Organization (4 operations)
⢠Create an organization ⢠Get an organization ⢠Get many organizations ⢠Update an organization
š§ Project (5 operations)
⢠Create a project ⢠Delete a project ⢠Get a project ⢠Get many projects ⢠Update a project
š Release (5 operations)
⢠Create a release ⢠Delete a release ⢠Get a release by version ID ⢠Get many releases ⢠Update a release
š§ Team (5 operations)
⢠Create a team ⢠Delete a team ⢠Get a team ⢠Get many teams ⢠Update a team
š¤ 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 Sentry.io Tool API responses with full data structure
Error Handling: Built-in n8n error management and retry logic
š” 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 Sentry.io 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
> š Free for community use! Ready to deploy in under 2 minutes.
n8n MCP Server Trigger Workflow
This n8n workflow serves as a foundational trigger for Model Context Protocol (MCP) server operations. It's designed to initiate other workflows or processes whenever an MCP server event occurs, acting as the entry point for AI-driven interactions within n8n.
What it does
- Listens for MCP Server Events: The core of this workflow is the "MCP Server Trigger" node, which actively listens for incoming requests or events from an MCP server. This allows n8n to react to external AI model interactions or context changes.
- Provides a Starting Point: It acts as a trigger, meaning it's the initial node that starts the execution of any subsequent nodes connected to it. This makes it ideal for building workflows that respond to AI model context updates or requests.
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 that will send events or requests to this n8n workflow.
Setup/Usage
- Import the Workflow:
- Download the provided JSON file for this workflow.
- In your n8n instance, go to "Workflows" and click "New".
- Click the "Import from JSON" button and paste the workflow JSON or upload the file.
- Configure the MCP Server Trigger:
- The "MCP Server Trigger" node typically doesn't require extensive configuration itself, as it primarily listens. However, you might need to ensure your MCP server is configured to send requests to the correct webhook URL exposed by this n8n trigger.
- After activating the workflow, n8n will provide a webhook URL for this trigger. You'll need to configure your MCP server to send its events to this URL.
- Extend the Workflow:
- This workflow is a starting point. Connect additional nodes to the "MCP Server Trigger" to process the incoming data from the MCP server. For example, you might add nodes to:
- Parse the incoming data.
- Interact with other AI models or services.
- Update databases or send notifications.
- Perform complex logic based on the MCP context.
- This workflow is a starting point. Connect additional nodes to the "MCP Server Trigger" to process the incoming data from the MCP server. For example, you might add nodes to:
- Activate the Workflow:
- Once configured, activate the workflow by toggling the "Active" switch in the top right corner of the workflow editor.
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