deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 3455개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides Jihulab MCP server functionalities.
Provides scenarios to test MCP server basic functionality and client-server interactions.
Deploys a robust n8n workflow automation platform with integrated MCP server support for AI assistants in homelab environments.
Provides a complete Model Context Protocol (MCP) implementation, enabling AI agents to interact with the Stability blockchain without gas fees.
Provides a Model Context Protocol server for seamless interaction with MongoDB Databases and MongoDB Atlas.
Integrates local Llama models with Claude Desktop, enabling private, custom, and cost-effective AI operations through the Model Context Protocol.
Enables AI agents to interact with the Mecha Agent platform.
Deploy a Model Context Protocol server using Vercel Functions for efficient tool and prompt management.
Provides a production-grade TypeScript template for building Model Context Protocol (MCP) servers with robust features and edge runtime support.
Provides a minimal FastMCP server template for Render deployment with streamable HTTP transport.
Unify management and access for multiple container runtimes, including nerdctl, Podman, and Docker, through a single interface.
Automate PCAP analysis and network troubleshooting by encapsulating common Wireshark workflows into structured tools for agents and scripts.
Manages homelab Kubernetes (K3s) clusters, Pi-hole DNS, and media services with a security-first, AI-driven interface.
Manage and execute containerized workloads by combining Cloudflare's infrastructure with OpenCode's intelligence.
Integrate AI assistants with Latitude.so for comprehensive prompt management and deployment.
Integrate with GitLab to manage merge requests, commits, pipelines, and jobs using Model Context Protocol (MCP) tools.
Empowers AI assistants to perform shell command execution and diverse system operations on a computer's operating system.
Control and manage VMware Workstation virtual machines on Linux systems programmatically.
Provides AI agents with deep inspection capabilities for video delivery workflows, analyzing HLS, DASH, MP4, audio, video, and subtitle assets using dockerized industry-standard media tools.
Manages `llama.cpp` `llama-server` instances with both programmatic control for LLM agents and a web UI for human operators.
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