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。2597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 creation of solutions based on open web services through the Eyevinn Open Source Cloud API.
Provides Model Context Protocol (MCP) access to Seq's API endpoints for interacting with a logging and monitoring system.
Captures and manages stdout logs from multiple processes via named pipes, providing a real-time interface for querying, filtering, and analyzing.
Enables interaction with the Prefect API through a Model Context Protocol (MCP) server.
Connects Fastly's API to AI assistants through the Model Context Protocol, enabling AI-driven management of Fastly services.
Collects Go runtime profiling data via the Model Context Protocol (MCP).
Centralizes MCP Servers to ease discovery, listing, and installation.
Compose and generate asynchronous API clients and Model Context Protocol (MCP) servers from OpenAPI specifications effortlessly.
Enables AI agents to seamlessly manage and monitor long-running daemons via the Model Context Protocol.
Manages configurations for multiple Model Context Protocol (MCP) servers and applies them across various clients.
Exposes Playwright functionality as an MCP server accessible via Server-Sent Events (SSE).
Enables AI agents to interact with n8n workflows using natural language via a Model Context Protocol (MCP) server.
Connects AI assistants to Logchef, enabling natural language interaction for log management and analysis.
Build composable middleware chains for Model Context Protocol servers.
Explores space through an AI-powered web application that combines cutting-edge artificial intelligence with real-time cosmic data.
Provides comprehensive administration and real-time monitoring for self-hosted Supabase instances.
Enables AI agents to deploy, monitor, and fix applications on your own servers without YAML or Kubernetes expertise.
Empower AI agents to safely read, modify, and validate JSON, YAML, and TOML files with a token-efficient and schema-aware interface.
Automate the interaction with B&R Automation Studio projects to build, simulate, and test through natural language.
Transforms slow PyTorch models into highly optimized CUDA/Triton kernels using automated multi-agent optimization.
Scroll for more results...