mcp_jenkins
The mcp_jenkins project is an experimental Model Context Protocol server enabling AI-driven interaction with Jenkins environments. It facilitates tasks like triggering builds and checking statuses through automated processes.
mcp_jenkins
A Jenkins MCP server. Model Context Protocol (MCP) lets AI tools (like chatbots) talk to and control your Jenkins setup, i. e. retrieve information and modify settings.
Note: This is a minimal experimental version of the MCP Jenkins server and is currently in early development.
Description
This project provides a Model Context Protocol (MCP) server for interacting with Jenkins. It allows users to trigger Jenkins jobs, get build statuses, and perform other Jenkins-related operations through the MCP interface.
Components
- : The core MCP Jenkins server application.
- : Defines the schema for the functions exposed by the MCP Jenkins server.
- : An example client demonstrating how to interact with the MCP Jenkins server (provided for reference only).
- : Contains functional tests for the MCP Jenkins server.
Installation
To install the package, run:
pip install .
Usage
Common Workflows
Running the Server
To run the MCP server:
./docker/run.server
Running the Example Client
To run the example client:
./docker/run.client
For example, to list builds for a job named "backups" using a specific model, you can run:
./docker/run.client --model gemini-2.0-flash-001 "list builds backups"
Note: If the package is installed via pip install .
, the mcp_jenkins_client
console script is also available.
This might produce output similar to:
Query: list builds backups
Result:
Recent builds for backups:
- Build #1086: FAILURE (http://myjenkins:8080/job/backups/1086/)
Building and Testing with Docker
A common workflow for development and testing is to first build the Docker image and then execute the tests:
-
Build the Docker image: This step prepares the environment needed for testing.
./docker/build
-
Run tests: After the build is complete, execute the tests.
./docker/run.tests
This sequence ensures that tests are performed against the latest build in a consistent Dockerized environment.
Deploying a Test Environment
To deploy a local Jenkins testing instance (without authentication, for functional tests only):
./docker/deploy.test.environment
Connecting to an Existing Jenkins Instance
To use the MCP Jenkins server with an existing Jenkins instance, you need to configure the following environment variables:
JENKINS_URL
: The full URL of your Jenkins instance (e.g.,http://your-jenkins-host:8080
). This is required.JENKINS_USER
: (Optional) Your Jenkins username if authentication is required.JENKINS_API_TOKEN
: (Optional) Your Jenkins API token. This must be provided along withJENKINS_USER
if authentication is used. You can generate an API token in your Jenkins user's configuration page (<Jenkins URL>/me/configure
).MCP_API_KEY
: A secret API key to secure this MCP server. Requests to the MCP server will need to include this key in theX-API-Key
header. This is required unlessDEBUG_MODE
is set totrue
.DEBUG_MODE
: Set totrue
to run the MCP server in debug mode, which bypasses theMCP_API_KEY
requirement and provides more verbose logging. Do not use in production.
Example Configuration (Bash):
export JENKINS_URL="http://your-jenkins-host:8080"
export JENKINS_USER="your_jenkins_username"
export JENKINS_API_TOKEN="your_jenkins_api_token"
export MCP_API_KEY="your_mcp_secret_key"
# export DEBUG_MODE="true" # Uncomment for development/testing without MCP_API_KEY
Once these environment variables are set, you can run the MCP server using the Docker script:
./docker/run.server
The MCP server will then attempt to connect to your specified Jenkins instance.
OpenWebUI Integration
The file open-webui/open_webui_interface.py
provides an example of how to integrate this MCP Jenkins server with an OpenWebUI instance.
To use it:
- In your OpenWebUI interface, navigate to the section for adding or configuring tools.
- Create a new tool.
- Copy the entire content of the
open-webui/open_webui_interface.py
file and paste it into the tool configuration in OpenWebUI. - Important: You will need to adjust the connection parameters within the pasted code, specifically:
MCP_JENKINS_SERVER_URL
: Set this environment variable in your OpenWebUI environment to the URL of your running MCP Jenkins server (e.g.,http://localhost:5000
). The script defaults tohttp://localhost:5000
if the variable is not set.MCP_API_KEY
: If your MCP Jenkins server is configured to require an API key, ensure this environment variable is set in your OpenWebUI environment. The script will print a warning if it's not found but will still attempt to make requests.
Once configured, the tools defined in open_webui_interface.py
(e.g., list_jobs
, trigger_build
, get_build_status
) should become available for use within your OpenWebUI chat interface.
License
This project is licensed under the MIT License.