The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models follow...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Universal
Model
Multiple
Fastest way to find out if mcp-jenkins belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add mcp-jenkins -- npx mcp-jenkinsRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove mcp-jenkinsNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ mcp-jenkins ← registers here
The Model Context Protocol (MCP) 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.