deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 3557개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Serves Pyodide applications.
Demonstrates how tools can be dynamically overridden across multiple Model Context Protocol servers.
Provides an experimental testing ground for server termination protocols.
Enables Claude Desktop to execute bash commands and scripts within any WSL2 Linux distribution on Windows.
Provides a foundational implementation of the Model Context Protocol using the NestJS framework.
Demonstrates how to create and deploy a simple server adhering to the Model-Context-Protocol (MCP), providing a basic tool for AI clients.
Manages and provides Model Context Protocol (MCP) services by integrating the FastMCP framework directly within Odoo 17.
Enables AI assistants to manage tasks through a standardized interface using the Model Context Protocol (MCP).
Enable remote file operations and command execution across multiple machines via SSH.
Facilitates bidirectional synchronization of Qdrant vector database collections between local and remote instances.
Provide AI agents with essential coding capabilities like shell execution, file editing, and search via a standalone MCP server.
Enables AI agents to manage token deployment, presales, swaps, and farming on Ethereum.
Enhances local development workflows by persistently caching file system operations and integrating GitHub webhook events into the development environment.
Fetches real-time metrics from Prometheus or VictoriaMetrics and exposes them for AI agent consumption.
Manages VMware vSphere storage resources, including datastores, iSCSI configurations, and vSAN environments.
Enhances Claude Code operations with stateful enforcement, VPS management, GitHub synchronization, and content pipeline capabilities.
Provides AI agents with real-time, verified cloud deployment cost forecasts across multiple providers to prevent pricing hallucinations.
Provides a minimal MCP server for Anytype, integrating discover, action, and search functionalities.
Provides AI-powered network analysis and diagnostics for domains and IP addresses through a Model Context Protocol (MCP) server.
Establishes a headless, self-hosted retrieval plane for AI stacks, providing RAG infrastructure with freshness-aware hybrid search, plugin-first extensions, and MCP integration.
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