This repository hosts MCPs for various DevOps platforms, allowing LLMs to automate tasks such as infrastructure management, CI/CD, monitoring, and artifact handling through standardized function calls.
Added on:
Created by:
Mar 29 2025
This repository hosts MCPs for various DevOps platforms, allowing LLMs to automate tasks such as infrastructure management, CI/CD, monitoring, and artifact handling through standardized function calls.
Added on:
Created by:
Mar 29 2025
a37
Featured
What is DevOps MCP Servers?
The DevOps MCP Servers repository offers a comprehensive suite of Model Context Protocol servers that facilitate direct interaction between Large Language Models and popular DevOps tools. It supports automation and control of cloud services, CI/CD pipelines, monitoring systems, container orchestration, and artifact repositories. By leveraging these MCPs, developers and DevOps teams can streamline workflows, enhance automation, and improve operational efficiency through natural language prompts or code-based commands integrated with the appropriate APIs.
Who will use DevOps MCP Servers?
- DevOps engineers
- Developers automating infrastructure
- System administrators
- CI/CD pipeline managers
- Cloud platform operators
How to use the DevOps MCP Servers?
- Step1: Choose the specific DevOps MCP server relevant to your platform (e.g., Kubernetes, Jenkins, AWS).
- Step2: Follow the provided README to set up and configure API credentials and environment variables.
- Step3: Use the function calls provided by the MCP to interact with the platform, such as deploying resources, managing containers, or triggering builds.
- Step4: Integrate the MCP into your workflow or automation scripts to enable AI-powered operations.
- Step5: Test the interactions and refine configurations as needed to ensure smooth operation.
DevOps MCP Servers's Core Features & Benefits
The Core Features
- API integration with DevOps platforms
- Infrastructure management
- CI/CD pipeline automation
- Monitoring and alerting
- Artifact handling
- Cluster management
The Benefits
- Automates complex DevOps tasks via natural language or scripts
- Standardizes cross-platform API interactions
- Enhances operational efficiency
- Enables AI to assist in infrastructure management
- Reduces manual intervention and errors
DevOps MCP Servers's Main Use Cases & Applications
- Automating deployment workflows with Jenkins and Kubernetes
- Managing cloud resources via AWS and Azure MCPs
- Monitoring system health through Datadog or Prometheus MCPs
- Artifact repository management with Artifactory MCPs
- Implementing continuous delivery pipelines
FAQs of DevOps MCP Servers
Developer
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Cloud Platforms
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
Demo project showcasing MCP protocol integration with Azure OpenAI for seamless AI application interactions.
A serverless MCP hosted in AWS Lambda that interacts with AWS Bedrock for AI model processing via API Gateway.
A dynamic MCP server facilitating interaction with Etherscan's API for blockchain data retrieval.
A server-client MCP facilitating communication and data exchange between AI services and storage systems.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
Enables interaction with SharePoint Online via REST API, supporting site, list, and user management functions.
A comprehensive suite of containers for efficient microservices deployment and management.
Monitoring
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A cross-platform desktop app providing offline access, performance, and detailed metrics for MCP system interaction.
A simplified Prometheus MCP server for collecting and exposing metrics and monitoring data.
Enables advanced browser automation for viewport management, screenshot capture, and content extraction using TypeScript.
A GUI tool for managing MCP servers across clients with seamless toggling and real-time monitoring features.
A server for sending notifications to self-hosted ntfy servers with secure token authentication support.
A Python SDK-based MCP supporting Elasticsearch 7 and 8 for search, mapping, health, and stats monitoring.
A WebSocket-based real-time chat application with user authentication, message history, and health monitoring features.
A client-side application for managing MCP functions with real-time updates and user interaction features.