Discover our curated collection of MCP servers for deployment & devops. Browse 2344servers and find the perfect MCPs for your needs.
Enables AI agents to securely access and manage GitHub Enterprise data, including users, organizations, and licenses.
Deploys an HTTP wrapper for the `gcloud-mcp` CLI to Google Cloud Run, enabling programmatic execution of gcloud commands.
Facilitates management and control plane operations for Azure DevOps.
Facilitates interaction with the Google Traffic Director API using a Multi-Agent Conversation Protocol server.
Configures MCP servers for APIs Hub.
Deploys a Model Context Protocol (MCP) server designed to run on AWS Lambda, integrating custom tools with AI clients.
Provides a server template for deploying custom tools and resources on Vercel.
Expose Hono API endpoints as Model Context Protocol (MCP) tools, simplifying integration and enhancing API functionality.
Exposes counter management, arithmetic operations, and IP address validation tools via a Server-Sent Events (SSE) endpoint.
Integrates Claude Code with GitHub Actions to create a seamless development environment.
Integrate Terraform Cloud API functionality into AI assistants for managing infrastructure as code.
Accelerates the development of Global Patent Search Systems by providing a DevOps-friendly MCP server template.
Provides real-time Brave Search results via Server-Sent Events (SSE).
Simplifies Terraform on AWS development by providing a Dockerized Model Context Protocol (MCP) server with integrated best practices, infrastructure as code patterns, and security compliance.
Exposes financial market data endpoints for LLMs and other clients, enabling fetching of OHLCV, option chains, Greeks, and corporate events, and facilitating training dataset assembly.
Facilitates secure SSH connections, remote command execution, and file management across servers using the Model Context Protocol.
Integrates with Railway.app to allow AI clients to manage infrastructure, deploy services, and monitor deployments using natural language.
Enhances Claude AI's capabilities by providing persistent memory storage for Infrastructure-as-Code (IaC) components, focusing on version tracking and relationship mapping for Terraform and Ansible resources.
Implements a protocol-compliant MCP server, offering JSON configuration for fast setup and a plugin-based architecture for custom AI agents and orchestration.
Dynamically routes AI tasks like chat, summarization, and sentiment analysis to appropriate models using intelligent, LLM-powered routing within a lightweight, production-ready FastAPI backend.
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