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Jama Mcp Server

@t-j-thomason a year ago
2 MIT
FreeCommunity
AI Systems
Model Context Protocol server for Jama Connect Software

Overview

What is Jama Mcp Server

The jama-mcp-server is an unofficial Model Context Protocol (MCP) server designed for Jama Connect Software. It provides read-only tools for interacting with a Jama Connect instance, acting as a wrapper around the official Jama Software ‘py-jama-rest-client’ library.

Use cases

Use cases include retrieving project data for reporting, integrating Jama Connect with other tools in a read-only manner, and allowing developers to explore Jama Connect data without the risk of modifying it.

How to use

To use jama-mcp-server, clone the repository from GitHub, build the Docker image using the provided Dockerfile, and run the server locally. Ensure you have Python 3.12 or higher, Git, and Docker installed.

Key features

Key features include read-only access to Jama Connect data, local execution for enhanced security, and the ability to inspect and modify the source code as needed. The server does not support write operations at this time.

Where to use

jama-mcp-server is suitable for organizations using Jama Connect Software that require secure, read-only access to their project data, particularly in environments where security and code transparency are priorities.

Content

Jama Connect MCP Server (Unofficial)

This project provides a Model Context Protocol (MCP) server that exposes read-only tools for interacting with a Jama Connect instance. It acts as an MCP wrapper around the official Jama Software py-jama-rest-client library.

Disclaimer: This is a third-party, open-source project and is not officially affiliated with or endorsed by Jama Software.

Note: This server currently only supports read-only operations. Write operations may be added in future updates.

Philosophy: Local Execution & Security

This MCP server is intentionally not published as a package on PyPI or other indices. This decision encourages users to:

  1. Clone/Fork the Repository: Obtain the code directly.
  2. Inspect the Code: Understand exactly what the server does before running it, especially concerning API interactions and credential handling.
  3. Adapt as Needed: Modify the code for specific enterprise requirements or security postures.

This approach prioritizes security awareness and user control over convenience, mitigating risks associated with installing potentially unverified third-party packages. Local execution by cloning the repository is the only supported method at this time.

Prerequisites

Building From Source

  • Python: Version 3.12 or higher.
  • uv: The Python package installer and virtual environment manager. (Installation Guide)
  • Git: For cloning the repository.
  • Docker For running with docker

Setup

Docker

  1. Clone the Repository:

    git clone https://github.com/t-j-thomas/jama-mcp-server.git
    cd jama-mcp-server
    
  2. Docker Build:

    sudo docker build -t jama-mcp-server .
    

    This will build the docker image using the project’s pyproject.tonl & uv.lock configrations

  3. For Build issues due to Certificates for the Jama Rest Client Repo:

    If you see an error like certificate verification failed: CAFile, you can optionally
    clone the https://github.com/jamasoftware-ps/py-jama-rest-client.git repo into this directory, and uncomment

    # py-jama-rest-client = { path = "./py-jama-rest-client", editable = true }

    from pyproject.toml file and comment out

    py-jama-rest-client = { git = "https://github.com/jamasoftware-ps/py-jama-rest-client.git" }.

    Then,

    uv sync
    sudo docker build -t jama-mcp-server .
    

Building From Source

  1. Clone the Repository:

    git clone https://github.com/t-j-thomas/jama-mcp-server.git
    cd jama-mcp-server
    
  2. Install Dependencies:
    Navigate into the server directory and use uv to create a virtual environment and install dependencies.

    uv sync
    

    This installs required dependencies, including boto3 if you plan to use AWS Parameter Store for credentials.

Configuration

The server requires environment variables to connect to your Jama Connect instance using OAuth 2.0. Credentials can be provided directly or fetched securely from AWS Parameter Store.

Authentication Methods:

  1. Direct Environment Variables:

    • JAMA_URL (Required): The base URL of your Jama Connect instance (e.g., https://yourcompany.jamacloud.com).
    • JAMA_CLIENT_ID (Required for this method): Your Jama API OAuth Client ID.
    • JAMA_CLIENT_SECRET (Required for this method): Your Jama API OAuth Client Secret.
    • If both JAMA_CLIENT_ID and JAMA_CLIENT_SECRET are set, they will be used directly, and the AWS Parameter Store configuration will be ignored.
  2. AWS Parameter Store (Not Supported for Docker):

    • This method is used only if JAMA_CLIENT_ID and JAMA_CLIENT_SECRET are not both set directly in the environment.
    • JAMA_URL (Required): The base URL of your Jama Connect instance.
    • JAMA_AWS_SECRET_PATH (Required for this method): The full name/path of the secret in AWS Parameter Store containing your Jama credentials.
      • The secret value must be a JSON string with the following structure: {"client_id": "YOUR_JAMA_CLIENT_ID", "client_secret": "YOUR_JAMA_CLIENT_SECRET"}.
    • JAMA_AWS_PROFILE (Optional): The AWS named profile to use for authenticating to AWS. If not set, boto3 will use its default credential resolution. Your current aws session credentials need to be valid (or refreshed if expired)
    • Note: Using this method requires the boto3 library to be installed (uv sync handles this) and appropriate AWS permissions for the server’s execution environment to access the specified Parameter Store secret.

The server first checks for JAMA_CLIENT_ID and JAMA_CLIENT_SECRET. If both are present, they are used. Otherwise, it checks for JAMA_AWS_SECRET_PATH and attempts to fetch credentials from AWS. If neither method provides the necessary credentials (and Mock Mode is off), the server will fail to start.

Mock Mode (Optional):

For testing without connecting to a live Jama instance:

  • JAMA_MOCK_MODE: Set to true to use the built-in mock client. The server will return predefined sample data. Any other value (or omitting the variable) disables mock mode.

Setting Environment Variables:

Set these variables in the environment where the MCP client will launch the server process. This could be:

  • Your terminal session (export JAMA_URL=...).
  • Directly within the MCP client’s server configuration (see below).

Running the Server (Standalone)

You can run the server directly for basic checks using uv (ensure environment variables are set):

# Ensure you are in the jama-mcp-server directory
uv run python -m jama_mcp_server.server

Testing with test_mcp_client.py

This repository includes a test client script (test_mcp_client.py) that can be used to directly invoke the server’s tools via stdio, primarily for debugging or quick checks, especially in mock mode.

To run the test client:

# Ensure you are in the jama-mcp-server directory
# This script automatically sets JAMA_MOCK_MODE=true for the server it launches
uv run python test_mcp_client.py

The script will start the server, call various predefined tools (including success and expected failure cases in mock mode), print the results, and provide a summary. You can modify this script to test specific tools or scenarios.

Integration with MCP Clients (Local Execution)

Configure your MCP client (like Cline, RooCode, Claude Desktop) to launch this server via its settings (e.g., mcp_settings.json).

Example Docker Configuration (mcp_settings.json):

Example UV Configuration (mcp_settings.json):

{
  "mcpServers": {
    "jama-mcp": {
      "command": "uv",
      "args": [
        "run",
        "python",
        "-m",
        "jama_mcp_server.server"
      ],
      "cwd": "/path/to/your/clone/jama-mcp-server",
      "env": {
        "JAMA_URL": "https://your.jama.instance.com",
        "JAMA_CLIENT_ID": "your_client_id",
        "JAMA_CLIENT_SECRET": "your_client_secret",
        "JAMA_AWS_SECRET_PATH": "/path/to/your/jama/secret",
        "JAMA_AWS_PROFILE": "your-aws-profile-name",
        "JAMA_MOCK_MODE": "false"
      }
    }
  }
}

Key Points:

  • The cwd path is critical for uv to find the project context.
  • Ensure the required Jama environment variables are available to the server process.

Available Tools

This server provides various read-only tools. See your MCP client interface for the full list after connecting. Examples include get_jama_projects, get_jama_item, get_jama_relationships, etc.

License

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

Contributing

Contributions and feedback are welcome! Please see the CONTRIBUTING.md file for guidelines.

Troubleshooting

  • Connection/Authentication Errors:
    • Verify JAMA_URL is correct.
    • Check if JAMA_CLIENT_ID and JAMA_CLIENT_SECRET are set correctly. These take priority.
    • If direct variables are not set, check AWS Parameter Store configuration:
      • Verify JAMA_AWS_SECRET_PATH is correct.
      • Ensure the server’s execution environment has permissions to read the secret (check IAM roles/policies).
      • Verify the secret value is valid JSON: {"client_id": "...", "client_secret": "..."}.
      • Check if boto3 is installed correctly (uv sync).
      • If using JAMA_AWS_PROFILE, ensure the profile exists and is configured correctly.
    • If neither method provides credentials, the server will fail to start (check logs).
    • Check Jama API client permissions in Jama Connect itself.
  • Tool Errors: Check arguments passed to the tool. Consult server logs (stderr) for more details.
  • Mock Mode Not Working: Ensure JAMA_MOCK_MODE environment variable is set to exactly true.

Tools

No tools

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