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# Jenkins MCP Server Setup Guide ## Installation Issue Solved We've identified and fixed the issue with the Jenkins MCP server not appearing in GitHub Copilot's tools list. ## What Was Fixed 1. **Package Installation**: Rather than trying to use `uvx` to run the MCP server directly, we installed the package properly using `pip install -e .` 2. **VS Code Settings**: Updated the VS Code settings to use the directly installed `jenkins-mcp-server` command instead of trying to use `uvx` 3. **Configuration Files**: Updated all relevant configuration files to use the direct command approach ## Current Setup - The Jenkins MCP server is now installed as a Python package (version 0.1.5 on PyPI) - VS Code is configured to run it directly using the `jenkins-mcp-server` command - The server will run with verbose output for better debugging - All Jenkins tools (9 total) are now properly registered and available to AI assistants ## How to Test the MCP Server 1. **Restart VS Code**: To ensure the new settings take effect, completely close and reopen VS Code 2. **Open GitHub Copilot Chat**: Start a new chat session and try a Jenkins-related query like "List my Jenkins jobs" 3. **Check the Output**: Look at the "Output" panel in VS Code for any error messages from the MCP server ## Troubleshooting If the MCP server still doesn't appear in GitHub Copilot, check: 1. **GitHub Copilot Extension**: Make sure you have the latest GitHub Copilot and Copilot Chat extensions 2. **VS Code Settings**: Ensure the MCP settings are correct in your VS Code settings.json 3. **Connection to Jenkins**: Verify that the Jenkins server details (URL, username, password) are correct ## Running Manually You can always test the MCP server by running: ```bash jenkins-mcp-server --verbose ``` This should show any connection errors or other issues that might prevent it from working properly. ## Next Steps Consider setting up a working Jenkins server (locally or remotely) for proper testing of the MCP server's capabilities.

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