找到适合你的 MCP Server，快速完成接入

Provides AI assistants with comprehensive access to Azure DevOps services including work items, repositories, pull requests, wikis, builds, pipelines, and test plans through 25+ MCP tools with multi-project support.

MCP As A Service

Fun project for spinning up MCP servers as a service.

A Model Context Protocol server that enables interaction with Atlassian products (Confluence and Jira), supporting both Cloud and Server/Data Center deployments for searching, creating, and managing content through natural language.

Enables sending emails through AWS Simple Email Service with support for single emails, bulk personalized emails, and template management. Deployed on Cloudflare Workers for fast, global edge performance with full TypeScript type safety.

Trust infrastructure for the machine economy. Gives AI agents non-custodial smart accounts (ERC-4337), x402 payments, on-chain reputation via ERC-8004 trust registry, and service discovery. 8 tools: create accounts, transfer, check balances, pay for x402 services, publish/discover services, manage payment agreements, and send encrypted messages.

An MCP server for Azure DevOps that allows users to manage work items, sprints, iterations, and attachments. It supports custom WIQL queries and includes pre-defined prompts for common tasks like sprint planning, bug reporting, and daily standup generation.

An open-source server that enables AI agents to interact with Azure DevOps projects through the Model Context Protocol, providing tools for managing work items, wikis, and repositories to streamline development workflows.

This MCP server integrates with Azure AI Foundry's Claude deployment to provide document management functionality. It enables tools for reading, writing, and listing files, allowing Claude to interact with local documents through an Azure-compatible client.

Slim Cloudflare MCP Server — 42 tools for managing DNS, zones, tunnels, WAF, Zero Trust, and security via Cloudflare API v4. Multi-zone support. No SSH, no shell, API-only with 3 runtime dependencies. AGPL-3.0 + Commercial dual-licensed.

Enables the validation and generation of Terraform Infrastructure as Code according to Pragma CloudOps standards, covering security, structure, and documentation rules. It provides specialized tools for automated compliance reporting, security auditing, and standardized template generation.

An MCP server for managing Cloudron instances that enables monitoring and controlling self-hosted applications, backups, and infrastructure. It provides tools for listing installed apps, retrieving system status, and performing administrative tasks through the Model Context Protocol.

MCP Cloudwatch Tracker

MCP Server for tracking logs with AWS CloudWatch

Enables AI image generation using FLUX models through ComfyUI with GPU acceleration, supporting image generation, 4x upscaling, and background removal with optimized Docker deployment.

A Model Context Protocol server that provides seamless integration with Coroot observability platform, enabling monitoring of applications, analysis of performance metrics, examination of logs and traces, and management of infrastructure through Coroot's comprehensive API.

MCP D63dce24

全面解析MCP Server PipecdMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Server Pipecd能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A minimal fastmcp demonstration server that provides a simple addition tool through the MCP protocol, supporting deployment via Docker with multiple transport modes.

MCP server that enables deployment and management of MCP servers through a simple configuration-based interface.

Enables work item management in DevOps Plan systems, allowing users to create, retrieve, filter, and delete work items, as well as manage applications, projects, components, and work item types through natural language.

Enables secure Docker command execution from isolated environments like containers through MCP protocol. Provides tools for managing Docker containers, images, and Docker Compose services with security validation and async operation support.

Exposes over 130 Dockhand API endpoints as tools to manage Docker infrastructure through AI assistants. It enables comprehensive control over containers, stacks, networks, and volumes across multiple environments and hosts.