Cloud Infrastructure MCP Servers

Cloudflare Playwright

99

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

Log Analyzer

97

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

Remote Functions

91

Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol.

Confluent

82

Enables AI assistants to interact with Confluent Cloud REST APIs for managing Kafka topics, connectors, and Flink SQL statements.

Create Server

81

Dynamically creates and manages Model Context Protocol (MCP) servers as child processes, enabling a flexible MCP ecosystem.

Remote Functions

80

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

Gateway Registry

76

Provides a unified platform that combines centralized access control with intelligent tool discovery for MCP servers.

Azure CLI

73

Enables interaction with Azure resources through the Model Context Protocol (MCP).

Vertex AI

72

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.

Vantage

71

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

Agentic AI Demos

70

Provides example implementations for building agentic AI solutions with AWS, utilizing the Model Context Protocol.

Workers

64

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

Aws Security

63

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

DigitalOcean

62

Exposes DigitalOcean App Platform functionality through standardized tools for MCP clients.

Alibaba CloudOps

61

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

Sample Model Context Protocol Demos

59

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

S3 Model Context

54

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

Vercel Integration

54

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

Heroku Platform

53

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

Pulumi

53

Enables programmatic interaction with Pulumi CLI and Cloud API through the Model Context Protocol.