Cloud Infrastructure MCP Servers

Workers

64

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

Cloudflare Playwright

59

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

Vantage

57

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

Remote Functions

57

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

Sample Model Context Protocol Demos

57

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

Aws Security

54

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

Azure Cosmos DB

53

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

Aws Bedrock Integration

47

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

Log Analyzer

47

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

Azure AI Agents

45

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

Alibaba CloudOps

45

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

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.

S3 Model Context

44

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

Vercel Integration

42

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

Heroku Platform

41

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

NetBox

41

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

Adx

41

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

Supabase

41

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

Supabase

40

Enables seamless integration between MCP clients and Supabase services such as databases, storage, and edge functions.

Metoro

40

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