DevOps MCP Servers

This repository is a collection of Model Context Protocol (MCP) server implementations specifically designed for DevOps tools and platforms. These servers enable Large Language Models (LLMs) to interact directly with popular DevOps systems, providing a standardized way to automate and control infrastructure, deployment pipelines, monitoring, and other DevOps operations.

Each MCP server implementation provides a comprehensive set of tools that map to the respective DevOps platform's API, allowing LLMs to perform complex operations through simple function calls.

🛠️ Available Servers

The following MCP servers are included in this repository (in alphabetical order):

Ansible Tower - Comprehensive API integration with Ansible Tower/AWX for managing inventories, hosts, job templates, projects, and more
Argo CD - Argo CD GitOps continuous delivery tool integration for application management, project configuration, repository connections, and cluster operations
Artifactory - JFrog Artifactory integration for artifact management, repository configuration, and binary management
AWS - AWS service integration for S3, EC2, Lambda, and custom AWS code execution
Azure - Azure resource management including resource groups, storage accounts, virtual machines, and more
Bitbucket Cloud - Bitbucket Cloud API integration for repositories, pull requests, pipelines, and code management
CircleCI - CircleCI API integration for pipelines, workflows, jobs, and CI/CD automation
Consul - Consul service discovery, registration, and configuration management
Datadog - Datadog monitoring platform integration for metrics, events, logs, dashboards, and monitors
Docker - Docker container management, image operations, network and volume controls
Elasticsearch - ELK stack integration with comprehensive Elasticsearch API coverage
GCP - Google Cloud Platform integration for Cloud Storage, Compute Engine, BigQuery, and more
GitHub - GitHub API integration for repository management, file operations, and code workflows
GitLab - GitLab API integration for repository management, CI/CD pipelines, and issue tracking
Grafana - Grafana monitoring platform integration for dashboards, data sources, and alerts
Jenkins - Jenkins CI/CD server integration for jobs, builds, plugins, and automation
Kubernetes - Kubernetes cluster management, resource operations, and advanced configurations
New Relic - New Relic monitoring platform integration for APM, infrastructure, synthetics, and alerts
Nexus - Sonatype Nexus repository manager integration for artifact management and security
Prometheus - Prometheus monitoring system integration for metrics, queries, alerts, and analysis
Puppet - Puppet infrastructure automation integration for configuration management

🚀 Getting Started

Each server implementation includes its own README with detailed documentation on installation, configuration, and available tools. Navigate to the specific server directory for more information.

Most servers require API credentials or tokens to interact with their respective services. Many of these servers will require the .env file to be configured with the relevant credentials. Refer to the individual server documentation for setup instructions.

See the sample-claude-config.json for an example of how to set up the Claude config JSON. Adding too many servers to the Claude config may result in performance decreases, in this case commenting out unnecessary tools will reduce the impact to performance.

🔧 Common Requirements

Python 3.7+ (3.13.2 recommended)
FastMCP framework
Service-specific API tokens or credentials
Required Python packages (install requirements.txt)

📚 Resources

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.