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DevOps MCP Server

@huangjien

Repository

About DevOps MCP Server

A DevOps MCP server, python implementation, release in docker mode.

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "devops-mcps": {
      "command": "uvx",
      "args": [
        "run",
        "devops-mcps"
      ]
    }
  }
}

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is DevOps MCP Server?

A FastMCP-based MCP server providing a suite of DevOps tools and integrations. It operates in read-only mode, retrieving data for analysis and display without modifying systems, and is designed for safety in DevOps environments.

How to use DevOps MCP Server?

Install the package via pip (pip install devops-mcps). Run the server directly with devops-mcps (default stdio transport) or with --transport stream_http for HTTP streaming. Configure required environment variables for GitHub, Jenkins, and Artifactory, or use a .env file. The server also supports UVX and Make workflows.

Key features of DevOps MCP Server

  • GitHub integration: repository search, file access, issue tracking, code search, commit history.
  • Jenkins integration: job management, build logs, view management, failure monitoring.
  • Artifactory integration: repository browsing, artifact search via AQL, item details.
  • Supports both public GitHub and GitHub Enterprise (configure GITHUB_API_URL).
  • Read-only operations for safety; no system modifications.
  • Dynamic prompts for common DevOps tasks (daily check, build troubleshooting, repo health assessment).

Use cases of DevOps MCP Server

  • Monitor Jenkins build failures and analyze logs for root cause investigation.
  • Search and retrieve artifact metadata from Artifactory repositories.
  • Perform daily DevOps check across GitHub repositories, Jenkins jobs, and infrastructure.
  • Assess GitHub repository health with security and CI/CD analysis.
  • Troubleshoot build failures with detailed logs and actionable recommendations.

FAQ from DevOps MCP Server

How do I install DevOps MCP Server?

Install using pip: pip install devops-mcps. Alternatively, use UVX: first run uvx install, then uvx run devops-mcps.

What transports are supported?

The server supports stdio (default) and stream_http (HTTP streaming on 127.0.0.1:3721/mcp by default).

What configuration is required?

You must set environment variables for GitHub (GITHUB_PERSONAL_ACCESS_TOKEN), Jenkins (JENKINS_URL, JENKINS_USER, JENKINS_TOKEN), and Artifactory (ARTIFACTORY_URL plus token or username/password). Optional variables include LOG_LENGTH, MCP_PORT, and PROMPTS_FILE.

Is the server read-only?

Yes, it operates in a read-only manner, retrieving data for analysis without modifying systems.

What dynamic prompts are available?

The server provides three built-in prompts: quick_repo_check (repository health assessment), daily_check (comprehensive monitoring), and build_troubleshoot (build failure investigation). These can be invoked via structured parameters or natural language.

Frequently asked questions

How do I install DevOps MCP Server?

Install using pip: `pip install devops-mcps`. Alternatively, use UVX: first run `uvx install`, then `uvx run devops-mcps`.

What transports are supported?

The server supports `stdio` (default) and `stream_http` (HTTP streaming on `127.0.0.1:3721/mcp` by default).

What configuration is required?

You must set environment variables for GitHub (`GITHUB_PERSONAL_ACCESS_TOKEN`), Jenkins (`JENKINS_URL`, `JENKINS_USER`, `JENKINS_TOKEN`), and Artifactory (`ARTIFACTORY_URL` plus token or username/password). Optional variables include `LOG_LENGTH`, `MCP_PORT`, and `PROMPTS_FILE`.

Is the server read-only?

Yes, it operates in a read-only manner, retrieving data for analysis without modifying systems.

What dynamic prompts are available?

The server provides three built-in prompts: `quick_repo_check` (repository health assessment), `daily_check` (comprehensive monitoring), and `build_troubleshoot` (build failure investigation). These can be invoked via structured parameters or natural language.

Comments

Basic information

Category

Cloud & Infrastructure

License

MIT

Transports

stdio

Author

huangjien

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