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Jira

17 stars PythonOthers Updated Jun 28, 2026

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redhat-ai-tools/jira-mcp

A containerized Python MCP server for Cursor to provide access to Jira.

> [!IMPORTANT]

> This project is experimental and was initially created as a learning exercise.

> Be aware there are more capable and mature Jira MCP solutions available,

> such as sooperset/mcp-atlassian,

> and Atlassian's own MCP Server.

See also redhat-ai-tools/jira-mcp-snowflake

which provides another way to access Red Hat Jira data.

Quick Start

1. Prepare a Jira token

    2. Configure Cursor

      code
      {
        "mcpServers": {
          "jiraMcp": {
            "command": "podman",
            "args": [
              "run",
              "-i",
              "--rm",
              "--env-file",
              "/path/to/your/dotenv/file.env",
              "quay.io/sbaird/jira-mcp:latest"
            ],
            "description": "A containerized MCP server to query Jira issues"
          }
        }
      }

      Quick Start (for developers)

      0. Prerequisites

        1. Get the code

        bash
        git clone git@github.com:redhat-ai-tools/jira-mcp.git
          cd jira-mcp

        2. Build the image & configure Cursor

        This also creates a `~/.rh-jira-mcp.env` file like this.

        bash
        make setup

        3. Prepare a Jira token

          4. Decide whether to enable write operations

          Enabling your MCP server to make edits to Jira can be very useful, but can also cause a lot of problems if you are not careful in how you use the MCP tools.

          By default, the server has write operations turned off.

          If you want to turn it on, edit the `.rh-jira-mcp.env` file in your home directory to set `JIRA_ENABLE_WRITE=true`.

          5. Check if it is working in Cursor

          To confirm it's working, run Cursor, go to Settings and click on "Tools & Integrations". Under MCP Tools you should see "jiraMcp" with 20 tools enabled if

          `JIRA_ENABLE_WRITE=false` (the default value) or 30 tools enabled if `JIRA_ENABLE_WRITE=true`.

          Using with an HTTP-based MCP application

          If you want to use this MCP server with an application that communicates via HTTP, then you need to run the server with an HTTP-based transport mechanism.

          Here is an example of how to do this using Streamable HTTP, which is the current recommended http-based transport mechanism for MCP:

          code
          export $(grep -v '^#' ~/.rh-jira-mcp.env | xargs) && python server.py --transport http --port 3075

          Here is an example of how to do this using SSE, which is a deprecated http-based transport mechanism (e.g., because you have an older MCP client application that depends on SSE):

          code
          export $(grep -v '^#' ~/.rh-jira-mcp.env | xargs) && python server.py --transport sse --port 3075

          For either Streamable HTTP or SSE, the JIRA_API_KEY in your environment is ignored (and not neeed). This is an important security feature, because otherwise anyone who

          had access to the HTTP service would have access to the account information for whoever configured and ran that server.

          Instead, calling applications must send in their own Jira token as a Bearer token. Here is an example of how to do that using Llama Stack:

          python
          from llama_stack_client import LlamaStackClient
          
          client = LlamaStackClient(base_url=LLAMA_STACK_URL)
          mcp_llama_stack_client_response = client.responses.create(
              model=LLAMA_STACK_MODEL_ID,
              input="Tell me about RHAISTRAT-24.",
              tools=[
                  {
                      "type": "mcp",
                      "server_url": JIRA_MCP_URL,
                      "server_label": "Jira_tools",            
                      "headers": {
                          "Authorization": f"Bearer {JIRA_API_TOKEN}"
                      }
                  }
              ]
          )

          Available Tools

          This MCP server provides the following tools:

          Issue Search & Retrieval

          • `get_jira` - Get details for a specific Jira issue by key.
          • `search_issues` - Search issues using JQL

          Issue Creation & Management

          • `create_issue` - Create a new Jira issue with summary, description, type, priority, and assignee
          • `update_issue` - Update an existing issue's summary, description, priority, or assignee
          • `delete_issue` - Delete a Jira issue (use with caution)

          Issue Comments

          • `get_issue_comments` - Get all comments for a Jira issue
          • `add_comment` - Add a comment to a Jira issue
          • `delete_comment` - Delete a comment from a Jira issue

          Issue Assignment

          • `assign_issue` - Assign a Jira issue to a user
          • `unassign_issue` - Unassign a Jira issue

          Issue Workflow & Status

          • `transition_issue` - Transition a Jira issue to a new status (e.g., "In Progress", "Done")
          • `get_issue_transitions` - Get available transitions for a Jira issue

          Issue Labels

          • `add_issue_labels` - Add labels to a Jira issue
          • `remove_issue_labels` - Remove labels from a Jira issue

          Project Management

          • `list_projects` - List all projects
          • `get_project` - Get project details by key
          • `get_project_components` - Get components for a project
          • `get_project_versions` - Get versions for a project
          • `get_project_roles` - Get roles for a project
          • `get_project_permission_scheme` - Get permission scheme for a project
          • `get_project_issue_types` - Get issue types for a project

          Board & Sprint Management

          • `list_boards` - List all boards
          • `list_sprints` - List sprints for a board
          • `get_sprint` - Get sprint details by ID
          • `get_sprints_by_name` - Get sprints by name for a board, optionally filtered by state

          User Management

          • `search_users` - Search users by query
          • `get_user` - Get user details by account ID
          • `get_current_user` - Get current user info
          • `get_assignable_users_for_project` - Get assignable users for a project
          • `get_assignable_users_for_issue` - Get assignable users for an issue

          Development Commands

          • `make build` - Build the image
          • `make run` - Run the container
          • `make clean` - Clean up the built image
          • `make cursor-config` - Modify `~/.cursor/mcp.json` to install this MCP Server
          • `make setup` - Builds the image, configures Cursor, and creates `~/.rh-jira-mcp.env` if it doesn't exist

          Troubleshooting

          Server Not Starting

          • Confirm that `make run` works
          • Check that the JIRA_API_TOKEN is correct
          • Verify the image was built successfully with `podman images jira-mcp`
          • Go to the "Output" tab in Cursor's bottom pane, choose "MCP Logs" from the drop-down select and examine the logs there
          • (MacOS) jiraMcp shows up in Cursor tools section but shows no active tools:
            • Edit args section of jiraMcp of your `mcp.json` file to include your full path to the `.rh-jira-mcp.env` file.
            • Example: `"~/.rh-jira-mcp.env",` to `"/Users/your_username/.rh-jira-mcp.env",`

          Connection Issues

          • Restart Cursor after configuration changes
          • Check Cursor's developer console for error messages
          • Verify the Jira URL is accessible from your network

          License

          This project is licensed under the MIT License. See the LICENSE file for details.

          Frequently asked questions

          What is jira-mcp?

          jira-mcp is Jira

          How do I install jira-mcp?

          Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

          Is jira-mcp open source?

          Yes — it is hosted on GitHub at https://github.com/redhat-community-ai-tools/jira-mcp and has 17 stars.

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