Send a raw authenticated HTTP request to any Jenkins endpoint not covered by other tools. Requires admin opt-in; non-read methods can mutate or delete Jenkins state.
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.
Provides AI assistants with full access to Jenkins CI/CD systems, enabling querying, managing, and controlling Jenkins jobs, builds, nodes, and queues through natural language.
Connect to a Jenkins server by providing its URL, username, and API token to establish a named session. Credentials are cached automatically, enabling quick reconnection for subsequent operations.
Lists all installed Jenkins plugins with their version and status, helping you verify plugin installations and identify available or outdated components in a selected Jenkins session.
Create a new Jenkins view by specifying a name and choosing between list or "My" view types to organize and display Jenkins jobs according to your needs.
Check active Jenkins sessions, version, executor info, and job counts to verify system health and connection status. Get an overview of the Jenkins instance to confirm it is operational.
Save Jenkins credentials under a named session for reuse across future connections, enabling automatic authentication when connecting to your Jenkins server.