Cloud Infrastructure MCPサーバー

cloud infrastructure向けの厳選されたMCPサーバーコレクションをご覧ください。583個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。

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Workers

64

Extends Claude Desktop by invoking functions using Cloudflare Worker's RPC syntax, granting access to Cloudflare or third-party bindings.

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Cloudflare Playwright

62

Automates browser testing and integrates with Cloudflare Workers and Browser Rendering.

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Vantage

57

Fetch costs and usage data from a Vantage account using natural language queries.

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Remote Functions

57

Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.

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Sample Model Context Protocol Demos

57

Provides examples for integrating the Model Context Protocol with AWS services.

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Aws Security

55

Connects AI assistants to AWS security services for autonomous querying, inspection, and analysis of AWS infrastructure.

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Azure Cosmos DB

53

Enables Large Language Models to securely query and analyze Azure Cosmos DB data through a standardized interface.

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Aws Bedrock Integration

48

Demonstrates implementation and usage of Anthropic's Model Context Protocol (MCP) with AWS Bedrock.

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Log Analyzer

47

Provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation.

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Alibaba CloudOps

45

Manages Alibaba Cloud resources through automated operations and pre-built tools.

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Azure AI Agents

45

Connects Claude Desktop to Azure AI Search capabilities through a Model Context Protocol (MCP) server.

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S3 Model Context

44

Enables retrieval of PDF documents and metadata from AWS S3 buckets for use in Large Language Model contexts.

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Vertex AI

44

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.

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Vercel Integration

43

Integrates Vercel's REST API as tools within an MCP server, providing programmatic access to deployment management.

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Vercel

41

Provides full administrative control over Vercel deployments through Cursor's Composer and Codeium's Cascade.

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NetBox

41

Enables interaction with NetBox data via Large Language Models (LLMs) using the Model Context Protocol (MCP).

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Heroku Platform

41

Enables large language models to interact with and manage Heroku Platform resources.

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Supabase

41

Enables programmatic management of Supabase projects and organizations through a standardized interface.

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Adx

41

Enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.

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Metoro

40

Enables interaction with Kubernetes clusters via the Claude Desktop App by exposing Metoro APIs to LLMs.

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