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1 month ago
glama

mcp-jenkins-intelligence

Enables natural language interfaces for complex Jenkins pipeline operations, including monitoring, analysis, and optimization through AI-powered conversations in VSCode and Cursor.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: JENKINS_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configMCP_SERVER_PORTMCP server port No 8000
configJENKINS_URL"": "https://your-jenkins-url",
configJENKINS_USERNAME"": "your-username",
🔐 secretJENKINS_TOKEN"": "your-token"
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/heniv96-mcp-jenkins-intelligence-1lvc60)](https://m8ven.ai/mcp/heniv96-mcp-jenkins-intelligence-1lvc60)
commit: 3e935ac092cce018c14a2f6d68ce95600184c57c
code hash: bdf28b665721f6a6dc308c19d819337dcdd09eebe520e7ef9683a2534bf8a1b7
verified: 6/16/2026, 1:24:30 PM
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