deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2508개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Orchestrates running several micro control plane (MCP) servers using Docker containers.
Provides a server application for managing S3 buckets.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Demonstrates how tools can be dynamically overridden across multiple Model Context Protocol servers.
Provides authenticated access for Claude AI to PostgreSQL databases, enabling natural language interaction with data.
Enables Large Language Models to query, analyze, and manage logs from SEQ structured logging servers.
Provides a standardized API for simultaneous interaction with multiple Kubernetes clusters using various kubeconfig files.
Deploys an unauthenticated Model Context Protocol server on Cloudflare Workers for remote tool integration.
Analyzes Git repositories and generates documentation, incorporating powerful search capabilities for commits, XML, YAML, and JSON data.
Enables deployment and integration of Model Context Protocol servers with Microsoft Copilot Studio to provide context to large language models.
Demonstrates how to create and deploy a simple server adhering to the Model-Context-Protocol (MCP), providing a basic tool for AI clients.
Streamlines the development and management of n8n workflows through enhanced context and automation.
Empower AI models to securely manage remote Linux servers and automate browser interactions.
Provides a robust TypeScript template for developing remote Model Context Protocol (MCP) servers with modern tooling and best practices.
Automates Next.js project creation, component generation, API development, and deployment workflows for AI assistants.
Enable remote file operations and command execution across multiple machines via SSH.
Provides a Dockerized Ubuntu environment accessible via a secure HTTP API to safely execute shell commands for AI agents without modifying the host system.
Provisions remote Claude Code sandboxes with pre-installed tools and a bundled Skills pack for streamlined development workflows.
Provides comprehensive system information including CPU, memory, disk, network, and process data for AI agents to monitor and interact with Linux servers.
Fronts multiple upstream Model Context Protocol servers as one, aggregating capabilities across protocols, and exposing only what presets allow.
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