deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2221개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Integrates a Model Context Protocol (MCP) server with Microsoft Copilot Studio to deliver various types of jokes.
Integrates with Joplin as a Machine Curation Protocol (MCP) server, enhancing note organization and processing capabilities.
Provides tools for managing GitHub organizations, repositories, and collaborators through the GitHub API.
Configures MCP servers for APIs Hub.
Provides a foundational example for deploying and running an MCP server.
Provides a suite of tools for managing and interacting with Adobe Experience Manager (AEM) local instances, including package management, content operations, and status checks.
Provides a clean, reusable TypeScript boilerplate for building Model Context Protocol servers.
Implements a highly scalable, stateless calculator server using Streamable HTTP, optimized for serverless and edge computing environments.
Executes bash commands on the host machine via a Model Context Protocol server, returning stdout, stderr, and exit codes.
Provides a lightweight framework and tooling system for building and running Model Context Protocol servers and inspectors.
Anchors agent tools, trust registries, and attestable executions on-chain, bringing the Model Context Protocol to Web3.
Enables AI agents to securely access and manage GitHub Enterprise data, including users, organizations, and licenses.
Manage Docker containers on multiple hosts with this TypeScript-based server implementation.
Serves as the backend infrastructure for marginfi.
Provides AI-powered natural language insights for multi-cloud FinOps across AWS, GCP, and Azure.
Provides a framework for building Model Context Protocol (MCP) servers utilizing the Server-Sent Events (SSE) protocol.
Deploys an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers for AI agent integration.
Deploys an unauthenticated remote Model Context Protocol (MCP) server on Cloudflare Workers.
Enables deployment and integration of Model Context Protocol servers with Microsoft Copilot Studio to provide context to large language models.
Enables AI agents to interact with Azure DevOps projects, managing work items, wikis, and repositories.
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