mcp-jenkins

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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.

Stars

128

Δ stars 7d

Δ stars 30d

Forks

55

Contributors

10

npm DL / wk

PyPI DL / wk

Language

Python

Last push

2026-06-08

About mcp-jenkins

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. docker pull ghcr.io/lanbaoshen/mcp-jenkins:latest docker run -p 9887:9887 --rm ghcr.io/lanbaoshen/mcp-jenkins:latest --transport streamable-http ``` When using command line arguments, you can specify the Jenkins server details as follows:

Read the full README on GitHub →

Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

mcp-jenkins alternatives

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Frequently asked questions

Is mcp-jenkins still maintained?
Yes — actively maintained. The last push was on 2026-06-08, with 10 contributors.
What are the best mcp-jenkins alternatives?
Closest by category and size in our data: io.github.Dave-London/build, jjsantos01/jupyter-notebook-mcp, LucasHild/mcp-server-bigquery — full list with live signals above.

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Tracked since 2026-06-17 · data as of 2026-06-18 · 6 open issues · 29 releases