deployment & devops向けの厳選されたMCPサーバーコレクションをご覧ください。3455個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enables management of Railway.app infrastructure, including deployments, variables, and services, through natural language using Model Context Protocol.
Enables running multiple isolated instances of MCP servers with unique configurations and namespaces.
Enables AI models to execute terminal commands on a host machine and retrieve the output.
Connects to Google Cloud services to provide context and tools for interacting with resources.
Provides a Metadata Change Proposal (MCP) server implementation for data governance.
Exposes system metrics via the Model Context Protocol (MCP), enabling LLMs to retrieve real-time system information.
Enables AI assistants to interact with Azure DevOps services via the Python SDK.
Connects AI assistants to AWS security services for autonomous querying, inspection, and analysis of AWS infrastructure.
Discovers and documents MCP Server capabilities using a command-line interface.
Provides a centralized gateway and registry for managing and accessing multiple Model Context Protocol (MCP) servers.
Provides a curated list of best practices for building Model Context Protocol (MCP) servers and clients.
Enables large language models to interact with and manage Heroku Platform resources.
Exposes DigitalOcean App Platform functionality through standardized tools for MCP clients.
Empowers AI assistants to perform comprehensive and secure operations on MySQL databases, including CRUD, transaction management, and intelligent rollback.
Provides a fast, secure, and scalable cloud IDE platform for containerized development environments.
Connects AI agents and tools with ROS 2 nodes, topics, and services via the Model Context Protocol (MCP) over stdio.
Provides a minimal FastMCP server template optimized for Render deployment with streamable HTTP transport.
Exposes safe, structured read/write tools for Perforce P4 version control system assets like changelists, files, and workspaces via the Model Context Protocol.
Automates software development tasks by continuously delegating work to autonomous AI agents, building features, fixing bugs, and shipping code.
Automates Ludus cyber range environments with AI-powered natural language commands.
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