# mcp-jenkins

> mcp-jenkins — lanbaoshen-mcp-jenkins. Use this tool when you need to integrate AI language models with Jenkins tools while maintaining data privacy and security. It enables secure, contextual AI interactions, solving problems related to data protection and automation in development workflows. The tool takes git inputs and provides outputs through the Model Context Protocol (MCP) interface, ideal for use cases requiring AI-driven automation in secure environments.

Canonical page: https://skillsregistry.net/skills/lanbaoshen-mcp-jenkins  
JSON: https://api.skillsregistry.net/v1/skills/lanbaoshen-mcp-jenkins

## Description

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.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/lanbaoshen/mcp-jenkins)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lanbaoshen-mcp-jenkins"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lanbaoshen-mcp-jenkins` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lanbaoshen-mcp-jenkins/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt