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This server integrates with Jenkins CI/CD systems to provide AI-powered insights, build management, and debugging capabilities.\n\n> **Note:** This server follows the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/), enabling AI assistants to interact with Jenkins systems directly.\n\n## Installation\n\n### Option 1: Install as a Python Package (Recommended)\n\nThe easiest way to install and run this server is as a Python package:\n\n```bash\n# Install from PyPI\npip install jenkins-mcp-server==0.1.6\n\n# Or install with uv\nuv pip install jenkins-mcp-server==0.1.6\n\n# Run the server\njenkins-mcp-server --verbose\n```\n\n### Option 2: Clone and Run\n\n```bash\n# Clone the repository\ngit clone https://github.com/yourusername/jenkins-mcp-server.git\ncd jenkins-mcp-server\n\n# Create a virtual environment and install dependencies\nuv venv\nuv pip install -e .\n\n# Run the server\npython -m jenkins_mcp_server\n```\n\n## VS Code Integration\n\n### Configure for VS Code\n\nFor quick installation, use one of the one-click install buttons below:\n\n[![Install with UV in VS Code](https://img.shields.io/badge/VS_Code-UV-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=jenkins&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22jenkins-mcp-server%3D%3D0.1.6%22%5D%2C%22env%22%3A%7B%22JENKINS_URL%22%3A%22%24%7BPROMPT%3AJENKINS_URL%7D%22%2C%22JENKINS_USERNAME%22%3A%22%24%7BPROMPT%3AJENKINS_USERNAME%7D%22%2C%22JENKINS_TOKEN%22%3A%22%24%7BSECRET%3AJENKINS_TOKEN%7D%22%7D%7D) [![Install with UV in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-UV-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=jenkins&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22jenkins-mcp-server%3D%3D0.1.6%22%5D%2C%22env%22%3A%7B%22JENKINS_URL%22%3A%22%24%7BPROMPT%3AJENKINS_URL%7D%22%2C%22JENKINS_USERNAME%22%3A%22%24%7BPROMPT%3AJENKINS_USERNAME%7D%22%2C%22JENKINS_TOKEN%22%3A%22%24%7BSECRET%3AJENKINS_TOKEN%7D%22%7D%7D&quality=insiders)\n\nFor manual installation:\n\n1. Install the Model Context Protocol (MCP) extension for VS Code\n2. Create a `.vscode/mcp.json` file in your workspace with the following configuration:\n\n```json\n{\n \"servers\": {\n \"jenkins-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"jenkins-mcp-server\",\n \"args\": [\"--verbose\"],\n \"env\": {\n \"JENKINS_URL\": \"http://your-jenkins-server:8080\",\n \"JENKINS_USERNAME\": \"your-username\",\n \"JENKINS_TOKEN\": \"your-api-token\"\n // Or use JENKINS_PASSWORD instead of JENKINS_TOKEN if using password authentication\n }\n }\n }\n}\n```\n\n3. Configure your authentication method:\n - **Recommended**: Use API token authentication by setting `JENKINS_TOKEN`\n - Alternatively: Use password authentication by setting `JENKINS_PASSWORD`\n\n4. Connect any AI assistant that supports MCP (like GitHub Copilot) to your Jenkins environment\n\n## Components\n\n### Resources\n\nThe server provides access to Jenkins jobs as resources:\n- Custom jenkins:// URI scheme for accessing individual jobs\n- Each job resource contains details about the job and its builds in JSON format\n- Job status is reflected in the resource description\n\n### Prompts\n\nThe server provides prompts for Jenkins data analysis:\n\n1. **analyze-job-status**: Creates analysis of all Jenkins jobs\n - Optional \"detail_level\" argument to control analysis depth (brief/detailed)\n - Analyzes job statuses, identifies potential issues, and suggests improvements\n\n2. **analyze-build-logs**: Analyzes build logs for a specific job\n - Required \"job_name\" argument to specify which job to analyze\n - Optional \"build_number\" argument (defaults to latest build)\n - Examines build logs to identify issues, errors, warnings, and suggests fixes\n\n### Tools\n\nThe server implements the following tools for Jenkins operations:\n\n1. **trigger-build**: Triggers a Jenkins job build\n - Required \"job_name\" argument to specify which job to build\n - Optional \"parameters\" object containing job parameters\n - Returns build queue information\n\n2. **stop-build**: Stops a running Jenkins build\n - Required \"job_name\" and \"build_number\" arguments \n - Halts an in-progress build execution\n\n3. **get-job-details**: Gets detailed information about a specific job\n - Required \"job_name\" argument\n - Returns comprehensive job information including recent builds\n \n4. **list-jobs**: Lists all Jenkins jobs\n - Returns a list of all Jenkins jobs with their statuses\n\n5. **get-build-info**: Gets information about a specific build\n - Required \"job_name\" and \"build_number\" arguments\n - Returns build status, duration, and other details\n\n6. **get-build-console**: Gets console output from a build\n - Required \"job_name\" and \"build_number\" arguments\n - Returns the console log output from a specific build\n\n7. **get-queue-info**: Gets information about the Jenkins build queue\n - Returns information about pending builds in the queue\n\n8. **get-node-info**: Gets information about a Jenkins node/agent\n - Required \"node_name\" argument\n - Returns node status and configuration details\n\n9. **list-nodes**: Lists all Jenkins nodes/agents\n - Returns a list of all Jenkins nodes/agents and their statuses\n\n## Configuration\n\n### Option 1: VS Code Settings (Recommended)\n\nConfigure your Jenkins connection in VS Code settings:\n\n1. Open VS Code Settings (Press `Cmd+,` on Mac or `Ctrl+,` on Windows/Linux)\n2. Click on the \"Open Settings (JSON)\" button in the top right\n3. Add these settings:\n\n

Using the User Settings (JSON)

\n\n```json\n{\n \"mcp.servers\": {\n \"jenkins\": {\n \"type\": \"stdio\",\n \"command\": \"uvx\",\n \"args\": [\"jenkins-mcp-server\"]\n }\n },\n \"jenkins-mcp-server.jenkins\": {\n \"url\": \"http://your-jenkins-server:8080\",\n \"username\": \"your-username\",\n \"token\": \"********\" // Replace with your Jenkins API token\n }\n}\n```\n

\n\n

Using workspace .vscode/mcp.json file

\n\nCreate a file at `.vscode/mcp.json` with these contents:\n\n```json\n{ \n \"servers\": { \n \"jenkins-mcp-server\": { \n \"type\": \"stdio\", \n \"command\": \"jenkins-mcp-server\", \n \"args\": [\n \"--verbose\"\n ]\n }\n }\n}\n```\n\nAnd in your `.vscode/settings.json` file:\n\n```json\n{\n \"jenkins-mcp-server.jenkins\": {\n \"url\": \"http://your-jenkins-server:8080\",\n \"username\": \"your-username\",\n \"token\": \"********\" // Replace with your Jenkins API token\n }\n}\n```\n

\n\nThis configuration:\n- Registers the MCP server in VS Code\n- Stores your Jenkins credentials securely in VS Code settings\n- Uses `uvx` to run the server automatically when needed\n\n### Option 2: Environment Variables\n\nAlternatively, configure your Jenkins connection by setting environment variables:\n\n1. Copy the `.env.example` file to create a `.env` file:\n ```bash\n cp .env.example .env\n ```\n\n2. Edit the `.env` file with your Jenkins details:\n ```\n JENKINS_URL=http://your-jenkins-server:8080\n JENKINS_USERNAME=your-username\n JENKINS_PASSWORD=your-password\n # OR use an API token instead of password (recommended)\n JENKINS_TOKEN=your-api-token\n ```\n\n> **Security Note:** Using VS Code settings is more secure as they are stored encrypted. Environment variables in a `.env` file are stored in plain text.\n\n## Usage with AI Assistants\n\nOnce configured, AI assistants that support MCP can now interact with your Jenkins server through natural language. Here are some examples of what you can do:\n\n### GitHub Copilot Chat\n\n1. Open GitHub Copilot Chat in VS Code\n2. Type prompts like:\n - \"List all my Jenkins jobs\"\n - \"What's the status of my 'deployment' job?\"\n - \"Show me the build logs for the failed build in 'test-project'\"\n - \"Trigger a new build for 'deploy-api'\"\n\n### Command Line Usage\n\nYou can also run the server directly from the command line:\n\n```bash\n# Run the MCP server\nuvx jenkins-mcp-server\n\n# In another terminal, use curl to test it:\ncurl -X POST http://localhost:8080/mcp/v1/listResources -H \"Content-Type: application/json\" -d '{}'\n```\n\n## Command-Line Usage\n\nThe `uvx` command makes it easy to use the MCP server in command-line environments without VS Code:\n\n```bash\n# Install UVX if you don't have it yet\npip install uv\n\n# Install the Jenkins MCP server\nuvx install jenkins-mcp-server\n\n```bash\n# Install UVX if you don't have it yet\npip install uv\n\n# Install the Jenkins MCP server from PyPI\nuvx install jenkins-mcp-server==0.1.6\n\n# Run the server with verbose output\nuvx jenkins-mcp-server --verbose\n```\n\n### Testing from Command Line\n\nYou can manually send JSON-RPC requests:\n\n```bash\necho '{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"listResources\",\"params\":{}}' | uvx jenkins-mcp-server\n```\n\n## Development Setup\n\nIf you're developing this MCP server:\n\n1. Clone this repository\n2. Install dependencies:\n ```bash\n uv venv\n uv pip install -e \".[dev]\"\n ```\n3. Run the server in development mode:\n ```bash\n python -m jenkins_mcp_server --verbose\n ```\n\n### VS Code Configuration for Development\n\nFor development in VS Code:\n\n```json\n\"mcp\": {\n \"servers\": {\n \"jenkins-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"bash\",\n \"args\": [\n \"-c\", \n \"cd ${workspaceFolder} && python -m jenkins_mcp_server --verbose\"\n ]\n }\n }\n}\n```\n\n3. Install the GitHub Copilot Chat extension\n4. Enable MCP in Copilot settings\n5. Start a new chat with Copilot and interact with your Jenkins server!\n\n#### 3. Claude Desktop\n\nFor Claude Desktop users:\n\nOn MacOS: `~/Library/Application\\ Support/Claude/claude_desktop_config.json`\nOn Windows: `%APPDATA%/Claude/claude_desktop_config.json`\n\n

Development Configuration

\n \n ```json\n \"mcpServers\": {\n \"jenkins-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"run\",\n \"jenkins-mcp-server\"\n ]\n }\n }\n ```\n

\n\n

Published Configuration (using uvx)

\n \n ```json\n \"mcpServers\": {\n \"jenkins-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"jenkins-mcp-server\"\n ]\n }\n }\n ```\n

\n\n## Development\n\n### Building and Publishing\n\nTo prepare the package for distribution:\n\n1. Sync dependencies and update lockfile:\n```bash\nuv sync\n```\n\n2. Build package distributions:\n```bash\nuv build\n```\n\nThis will create source and wheel distributions in the `dist/` directory.\n\n3. Publish to PyPI:\n```bash\nuv publish\n```\n\nNote: You'll need to set PyPI credentials via environment variables or command flags:\n- Token: `--token` or `UV_PUBLISH_TOKEN`\n- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`\n\n### Debugging\n\nSince MCP servers run over stdio, debugging can be challenging. For the best debugging\nexperience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).\n\n\nYou can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:\n\n```bash\n# If installed globally with uvx\nnpx @modelcontextprotocol/inspector uvx jenkins-mcp-server\n\n# If installed in development mode\nnpx @modelcontextprotocol/inspector python -m jenkins_mcp_server\n```\n\n\nUpon launching, the Inspector will display a URL that you can access in your browser to begin 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MCP directory API