Cloud Infrastructure MCP 服务器
发现我们为 cloud infrastructure 精心策划的 MCP 服务器集合。浏览 576 个服务器,找到满足您需求的完美 MCP。
Workers
Extends Claude Desktop by invoking functions using Cloudflare Worker's RPC syntax, granting access to Cloudflare or third-party bindings.
Cloudflare Playwright
Automates browser testing and integrates with Cloudflare Workers and Browser Rendering.
Vantage
Fetch costs and usage data from a Vantage account using natural language queries.
Remote Functions
Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.
Sample Model Context Protocol Demos
Provides examples for integrating the Model Context Protocol with AWS services.
Aws Security
Connects AI assistants to AWS security services for autonomous querying, inspection, and analysis of AWS infrastructure.
Azure Cosmos DB
Enables Large Language Models to securely query and analyze Azure Cosmos DB data through a standardized interface.
Aws Bedrock Integration
Demonstrates implementation and usage of Anthropic's Model Context Protocol (MCP) with AWS Bedrock.
Log Analyzer
Provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation.
Azure AI Agents
Connects Claude Desktop to Azure AI Search capabilities through a Model Context Protocol (MCP) server.
Alibaba CloudOps
Manages Alibaba Cloud resources through automated operations and pre-built tools.
Vertex AI
Provides a Model Context Protocol (MCP) server offering a suite of tools for interacting with Google Cloud's Vertex AI Gemini models, focusing on coding assistance and query answering.
S3 Model Context
Enables retrieval of PDF documents and metadata from AWS S3 buckets for use in Large Language Model contexts.
Vercel Integration
Integrates Vercel's REST API as tools within an MCP server, providing programmatic access to deployment management.
Supabase
Enables programmatic management of Supabase projects and organizations through a standardized interface.
Adx
Enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.
Heroku Platform
Enables large language models to interact with and manage Heroku Platform resources.
NetBox
Enables interaction with NetBox data via Large Language Models (LLMs) using the Model Context Protocol (MCP).
Appwrite
Manages Appwrite projects through a Model Context Protocol server, offering tools for databases, users, and more.
Metoro
Enables interaction with Kubernetes clusters via the Claude Desktop App by exposing Metoro APIs to LLMs.
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