MCP Серверы

codex-mcp-server

от directive-reticule640

🚀 Connect your IDE or AI assistant to the Codex CLI with this open-source MCP server for efficient automation and robust code analysis.

aws-lambda-mcp

от micci184

MCP server running on AWS Lambda with Function URL, deployed via Terraform

things3-mcp-tools

от Avery2

Things3 MCP server and automation toolkit.

gcp-mcp

от eniayomi

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Google Cloud Platform environment. This allows for natural language querying and management of your GCP resources during conversations.

mcp-server-redis

от prajwalnayak7

MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate

mcp-codepipeline-server

от cuongdev

This is a Model Context Protocol (MCP) server that integrates with AWS CodePipeline, allowing you to manage your pipelines through Windsurf and Cascade. The server provides a standardized interface for interacting with AWS CodePipeline services.

gcp-cost-mcp-server

от nozomi-koborinai

💰 An MCP server that enables AI assistants to estimate Google Cloud costs, powered by Cloud Billing Catalog API and built with Genkit for Go

vercel-mcp-server-for-zed

от Takk8IS

💾 Model Context Protocol (MCP) Server Vercel for Zed Editor

InfraGenius

от aryasoni98

InfraGenius is a comprehensive AI-powered platform designed specifically for DevOps, SRE, Cloud, and Platform Engineering professionals. It provides industry-level expertise through advanced AI models, optimized for infrastructure operations, reliability engineering, and cloud architecture.

chatgpt-apps-sdk-examples

от bighadj22

A ChatGPT App that brings high-quality, royalty-free photography from Pexels directly into your conversations. Built with the Model Context Protocol (MCP) and powered by Cloudflare Workers.

m365-mcp-server

от nikolanovoselec

An initial, functional implementation of a Remote MCP Server with OAuth 2.1 + PKCE, built on Cloudflare Workers with Microsoft 365 GraphQL API integration. This example illustrates a fundamentally insecure deployment pattern typical of early AI experimentation and should not be used in production. Built for educational purposes.