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.
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# MCP Jenkins  [](https://pepy.tech/projects/mcp-jenkins) [](https://github.com/lanbaoshen/mcp-jenkins/actions/workflows/test.yml/badge.svg) [](https://codecov.io/gh/lanbaoshen/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. ## Installation Choose one of these installation methods: ``` # Using uv (recommended) pip install uv uvx mcp-jenkins # Using pip pip install mcp-jenkins mcp-jenkins # Docker docker pull ghcr.io/lanbaoshen/mcp-jenkins:latest docker run -p 9887:9887 --rm ghcr.io/lanbaoshen/mcp-jenkins:latest --transport streamable-http ``` ## Line Arguments When using command line arguments, you can specify the Jenkins server details as follows: ```shell # Simple streamable-http example uvx mcp-jenkins --transport streamable-http ``` | Argument | Description | Required | |--------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|----------| | `--env-file` | Path to a `.env` file to load configuration from. See [Environment Variables / .env file](#environment-variables--env-file) below. | No | | `--jenkins-url` …
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