devops-mcps is a Python implementation of a DevOps MCP server, deployed via Docker, providing tools for repository management, CI/CD integration, and artifact retrieval with safety and read-only design.
Added on:
Created by:
Apr 27 2025
devops-mcps is a Python implementation of a DevOps MCP server, deployed via Docker, providing tools for repository management, CI/CD integration, and artifact retrieval with safety and read-only design.
Added on:
Created by:
Apr 27 2025
Jien Huang
Featured
What is devops-mcps?
This MCP server offers a comprehensive suite of DevOps tools including GitHub repository management, code search, issue tracking, Jenkins job and build log management, and Artifactory artifact browsing. It operates in a read-only mode to ensure system safety while allowing detailed data retrieval and analysis. The server supports multiple communication transports such as stdio and SSE, and can be configured via environment variables. It integrates seamlessly with platforms like GitHub, Jenkins, and Artifactory, making it suitable for analysis, monitoring, and auditing in DevOps environments, with options for Docker deployment and VSCode integration.
Who will use devops-mcps?
- DevOps engineers
- System administrators
- QA engineers
- Developers
- CI/CD pipeline managers
How to use the devops-mcps?
- Step 1: Install using pip: pip install devops-mcps
- Step 2: Run the server with devops-mcps command
- Step 3: Configure environment variables for platform access tokens
- Step 4: Access the server via the supported transport (stdio or sse)
- Step 5: Use integrated tools for repository, Jenkins, and Artifactory management
devops-mcps's Core Features & Benefits
The Core Features
- Repository management and search
- Code and file retrieval
- Issue and commit history tracking
- Jenkins job and log management
- Artifactory repository browsing
- Environment-based configuration
- Docker deployment
- VSCode integration
The Benefits
- Safe, read-only data retrieval for analysis
- Multi-platform integration (GitHub, Jenkins, Artifactory)
- Flexible deployment via Docker
- Supports multiple communication transports
- Suitable for auditing and monitoring in DevOps workflows
devops-mcps's Main Use Cases & Applications
- Repository analysis and monitoring
- CI/CD pipeline auditing
- Artifact management and search
- Development environment integration
- Automated system audits in DevOps workflows
FAQs of devops-mcps
Developer
- huangjien
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