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。3086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。
Translates natural language commands into valid Podman CLI commands for container management.
Integrates Cursor IDE with Jenkins CI/CD systems, enabling direct interaction through natural language commands.
Provides a foundational template for deploying Model Context Protocol (MCP) servers and integrating them with Microsoft Copilot Studio.
Deploys a Model Context Protocol (MCP) server designed to run on AWS Lambda, integrating custom tools with AI clients.
Provides a knowledge base server for financial funds, offering query and retrieval functionalities based on the Model Context Protocol.
Provides a lightweight vector store with TF-IDF search capabilities for various document types.
Manage Kubernetes clusters and resources by connecting to the Model Context Protocol (MCP) server.
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.
Simplifies PostgreSQL database management by providing global connection pooling, PgBouncer integration, and automatic password rotation for AWS RDS.
Demonstrates a cloud-native Kubernetes application showcasing GitOps, distributed tracing, and automated database management for building scalable microservices.
Enables AI agents to securely query Azure DevOps data like work items, projects, and ticket statistics via a custom Model Context Protocol (MCP) server.
Provides a centralized interface for managing and monitoring various homelab services.
Builds a lightweight server to efficiently interact with the complete Cloudflare API, streamlining cloud management tasks.
Serves Python tools via a single backend, simultaneously exposing them through OpenAPI and MCP endpoints for diverse client integrations.
Enables production-safe debugging and diagnostic operations for Laravel applications through Codex CLI using a secure SSH-based runner.
Integrates LibreNMS network monitoring data with AI assistants, enabling natural language queries for devices, alerts, sensors, and network information.
Provides AI-powered real-time cloud cost analysis, waste detection, and optimization insights across AWS, GCP, and Azure.
Detect vulnerabilities in websites and GitHub repositories, receiving AI-generated fix code with diffs and enabling one-click pull request creation.
Transforms a codebase into a machine-readable knowledge graph, enabling AI coding agents to reason about dependencies, impact, and system architecture.
Enables AI assistants to securely connect to remote machines, execute commands, transfer files via SFTP, and manage interactive shell sessions over SSH.
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