Stop a running Jenkins job by specifying the application name and build number. Ideal for managing CI/CD pipelines efficiently on the MCP-Jenkins server.
Trigger a Jenkins job for a specific application and branch using the MCP-Jenkins server, enabling streamlined CI/CD pipeline execution directly via compatible MCP clients.
Retrieve the status of a specific Jenkins job on the MCP-Jenkins server by providing the application name and Git branch, simplifying CI/CD pipeline monitoring.
Submit an input action (approve/reject) to Jenkins CI/CD pipelines using the decision URL, enabling users to manage pipeline approvals directly from compatible MCP clients.
Retrieve pending input actions for a specific Jenkins build by specifying the application name and build number. Streamlines CI/CD pipeline management within the MCP-Jenkins server environment.
The Model Context Protocol (MCP) Jenkins integration 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.
A server that enables interaction with Jenkins CI/CD pipelines from any compatible MCP client (like Claude Desktop), allowing users to manage jobs, builds, coverage reports, and other Jenkins functionality through natural language.