Jira MCP server
What it does This n8n workflow creates a powerful AI-powered Jira management system that allows you to use Claude or other AI assistants to create, update, and manage Jira tickets through natural language requests. The workflow exposes key Jira functions as AI tools, enabling you to interact with your Jira instance through conversational commands. How it works
The workflow sets up an MCP (Model Control Protocol) server, allowing compatible AI assistants to use a suite of Jira management tools The AI assistant can perform various Jira operations including:
Creating new tickets with customized fields Adding comments to existing tickets Retrieving available status transitions for tickets Attaching files to tickets Changing ticket statuses Retrieving detailed information about tickets Getting available projects and issue types
When you make a request to your AI assistant, it determines which Jira operation to perform and executes it through this workflow
Setup Steps
Prerequisites:
Active Jira Cloud account with admin access n8n instance with the Langchain and MCP nodes installed Claude Desktop App or another compatible AI assistant
Jira Credentials Setup:
Configure your Jira Cloud API credentials in n8n Ensure your Jira account has sufficient permissions for all operations
Workflow Configuration:
Import this template into your n8n instance Set up the MCP Trigger node with your desired path (currently "test_mcp") Verify that all Jira tool nodes are correctly connected to the MCP Server node Activate the workflow
Using Claude as an MCP Client:
Open your Claude Desktop App Navigate to Settings > Developer Settings Enable "Connect to local MCP servers" Add a new connection with the URL path to your n8n MCP server (e.g., "http://localhost:5678/webhook/test_mcp") Start a new conversation and ask Claude to perform Jira tasks
Example Usage with Claude Once you've set up the connection between Claude and your MCP server, you can use natural language to manage your Jira tickets. Here are some examples:
Creating a ticket: "Claude, please create a new Jira ticket in the Web Development project with bug issue type. The summary should be 'Homepage loading slowly' and the description should be 'Users are experiencing delays of 5+ seconds when loading the homepage on mobile devices.'" Adding a comment: "Claude, please add a comment to Jira ticket WEB-123 saying 'This issue has been reproduced on multiple devices and browsers. Priority should be increased.'" Checking status: "Claude, can you get the details of ticket WEB-123 and tell me its current status?" Changing status: "Claude, please move ticket WEB-123 to 'In Progress' status."
This workflow creates a seamless bridge between your AI assistant and Jira, making project management more efficient through natural language interactions.
Jira MCP Server
This n8n workflow acts as a Model Context Protocol (MCP) server trigger, designed to initiate AI-driven processes. While the directory name suggests a connection to Jira, the current workflow JSON solely defines an MCP server trigger without any explicit Jira integration or subsequent actions.
What it does
- Listens for MCP Requests: The workflow starts by listening for incoming requests to an MCP server. This trigger is designed to receive context and initiate AI model interactions.
Prerequisites/Requirements
- n8n Instance: An active n8n instance to host and run the workflow.
- Model Context Protocol (MCP): Understanding and a system capable of sending requests to an MCP server.
Setup/Usage
- Import the Workflow: Import the provided JSON into your n8n instance.
- Activate the Workflow: Enable the workflow to start listening for incoming MCP requests.
- Integrate with MCP Client: Configure your MCP client or AI application to send requests to the webhook URL provided by this n8n workflow's MCP Server Trigger.
Note: As per the current JSON, this workflow only sets up the MCP server trigger. To perform any actions related to Jira or other services, you would need to extend this workflow by adding subsequent nodes after the "MCP Server Trigger" to process the incoming data and interact with other APIs.
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