MCP Jenkins

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

Installation

Choose one of these installation methods:

# Using uv (recommended)
pip install uv
uvx mcp-jenkins

# Using pip
pip install mcp-jenkins
mcp-jenkins

# Docker
docker pull ghcr.io/lanbaoshen/mcp-jenkins:latest
docker run -p 9887:9887 --rm ghcr.io/lanbaoshen/mcp-jenkins:latest --transport streamable-http

Line Arguments

When using command line arguments, you can specify the Jenkins server details as follows:

# Simple streamable-http example
uvx mcp-jenkins --transport streamable-http

Environment Variables / .env file

Instead of passing credentials on the command line, you can set them as environment variables, or put them in a .env file:

JENKINS_URL=https://jenkins.example.com
JENKINS_USERNAME=alice
JENKINS_PASSWORD=xxxx
JENKINS_TIMEOUT=5
JENKINS_VERIFY_SSL=true

If a .env file is present in the current directory (or a parent directory), it is loaded automatically — no flag needed:

uvx mcp-jenkins --transport streamable-http

To load a .env file from a specific location, use --env-file:

uvx mcp-jenkins --env-file /path/to/.env --transport streamable-http

Values already set in the real environment take precedence over the .env file, and any --jenkins-* CLI flag takes precedence over both.

Configuration and Usage

Jetbrains Github Copilot

1. Open Jetbrains Settings
2. Navigate to Github Copilot > MCP > Configure
3. Add the following configuration:

{
  "servers": {
    "my-mcp-server": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-jenkins",
        "--jenkins-url=xxx",
        "--jenkins-username=xxx",
        "--jenkins-password=xxx"
      ]
    }
  }
}

VSCode Copilot Chat

1. Create .vscode folder with mcp.json file in you workspace for local setup or edit settings.json trough settings menu.
2. Insert the following configuration:

• SSE mode

{
    "servers": {
        "jenkins": {
            "url": "http://localhost:9887/sse",
            "type": "sse"
        }
    }
}

• Streamable-Http mode

{
    "servers": {
        "mcp-jenkins-mcp": {
            "autoApprove": [],
            "disabled": false,
            "timeout": 60,
            "type": "streamableHttp",
            "url": "http://localhost:9887/mcp"
        }
    }
}

Run the Jenkins MCP server with the following command:

uvx mcp-jenkins \
  --jenkins-url xxx \
  --jenkins-username xxx  \
  --jenkins-password xxx \
  --transport sse

Health Check Endpoint

When running with --transport streamable-http or --transport sse, the server exposes a plain HTTP liveness endpoint:

GET /healthz  ->  200 OK

It always returns 200 and bypasses the x-jenkins-* auth headers, so it is safe to use directly as a Kubernetes liveness/readiness probe without any Jenkins credentials. Example probe:

livenessProbe:
  httpGet:
    path: /healthz
    port: 9887
  initialDelaySeconds: 5
  periodSeconds: 10

Note: this is a liveness check only — it does not verify connectivity to the upstream Jenkins server.

Available Tools

Note: get_pending_inputs reads the wfapi endpoint served by the pipeline-rest-api plugin (bundled with pipeline-stage-view). submit_input only needs that plugin when input_id is omitted — pass input_id explicitly and it works on any Jenkins with the pipeline-input-step plugin.

Contributing

CONTRIBUTING.md

License

Licensed under MIT - see LICENSE file. This is not an official Jenkins product.

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