MCP servers for DevOps tools and integrations. Created and maintained by the a37 team.
Overview
What is DevOps MCP Servers?
DevOps MCP Servers is a collection of Model Context Protocol (MCP) server implementations designed for DevOps tools and platforms, enabling Large Language Models (LLMs) to interact with popular DevOps systems for automation and control of infrastructure and deployment pipelines.
How to use DevOps MCP Servers?
To use the DevOps MCP Servers, navigate to the specific server directory in the repository, follow the README documentation for installation and configuration, and ensure you have the necessary API credentials set up in a .env file.
Key features of DevOps MCP Servers?
- Integration with various DevOps tools like Ansible, AWS, Azure, Docker, and more.
- Standardized API interactions for automating DevOps operations.
- Comprehensive documentation for each server implementation.
Use cases of DevOps MCP Servers?
- Automating deployment pipelines using Jenkins or CircleCI.
- Managing cloud resources on AWS or Azure.
- Monitoring infrastructure with Datadog or Prometheus.
FAQ from DevOps MCP Servers?
- What programming language is used?
The project is primarily developed in Python.
- Is there a license for this project?
Yes, it is licensed under the MIT License.
- How can I contribute to the project?
Contributions are welcome! Please refer to the GitHub repository for guidelines.