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。3452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。
Validates GitHub operation execution through a server integration.
Provides an MCP server for OpenShift must-gather operations.
Enables Large Language Models to interact with and automate Git repositories.
Provides a high-performance, stateless server to access and manage Bitbucket Cloud resources via its full REST API.
Provides a standardized interface for AI models to access a variety of jokes, including Chuck Norris and Dad jokes.
Integrates comprehensive Azure AI services with enterprise-grade reliability, observability, and chaos engineering for mission-critical applications.
Provides a robust backend server for managing and exposing callable tools via a JSON-RPC 2.0 API, integrating with Supabase and n8n.
Transforms a Zuora OpenAPI specification into a Model Context Protocol (MCP) server for streamlined API interaction.
Integrates Hotels.com search and booking capabilities into a secure, type-safe API via Cloudflare Workers for Claude Desktop.
Deploy a remote Model Context Protocol server without authentication on Cloudflare Workers.
Analyzes MSI installation files and facilitates Windows software management through detailed metadata extraction and command generation.
Establishes a foundational FastAPI application for managing appointments, integrating PostgreSQL, and containerizing with Docker for Model Context Protocol exposure.
Enables AI assistants to automate the creation, update, and publication of API documentation through Theneo's Model Context Protocol server.
Aggregates, secures, and orchestrates multiple Model Context Protocol (MCP) servers, acting as a central API gateway for LLM applications.
Manages SSH-based remote sandboxes, providing multi-server orchestration, persistent sessions, background task execution, and resource monitoring.
Integrate Beyond Compare's powerful file and folder comparison, merging, and synchronization capabilities into Model Context Protocol (MCP) workflows.
Aggregates a diverse collection of AI-ready tool libraries into a single Spring Boot application for conditional activation and use.
Exposes Kubernetes resource management functionalities as tools for Large Language Model clients, wrapping `kubectl` commands with structured output.
Validates and controls shell commands executed by AI agents against per-agent permission rules before execution.
Injects real-world context and continuous awareness into AI coding agents through a modular plugin system.
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