A serverless YouTube subtitle extraction service based on Cloudflare Workers, using the MCP protocol to achieve high - performance AI assistant integration

This project implements a server based on the Model Context Protocol (MCP) for deploying web applications to AWS serverless infrastructure, supporting automatic deployment of front - end, back - end, and full - stack applications.

The Storm MCP server is an open protocol that implements the Anthropic Model Context Protocol, supports the integration of LLM and RAG data sources, and provides functions such as context sharing, tool system, file management, and API integration.

A serverless implementation of the Model Context Protocol (MCP) based on AWS Lambda and SAM, providing two interfaces for system configuration and client usage.

An unofficial MCP management tool for Scaleway serverless functions, supporting operations such as creating, deploying, deleting, and updating functions

MCP Serverless is a serverless architecture-based implementation of the model context protocol that provides a simple interface for tool management and request processing.

An MCP server for deploying Python scripts based on Modal

A minimalist Model Context Protocol (MCP) server based on AWS Lambda and API Gateway, deployed using the Serverless Framework, supporting local development and testing.

The Alibaba Cloud MCP service provides tools for interacting with Alibaba Cloud services, including querying log services, managing ECS instances, and deploying serverless functions.

RAGStack-Lambda is a serverless AI document and media processing platform based on AWS Lambda. It supports uploading documents, images, videos, and audio, builds a knowledge base through OCR, transcription, and vectorization technologies, and provides an AI chat function with source traceability. It adopts a pay-as-you-go architecture with zero idle costs.

A serverless MCP protocol implementation project based on AWS Lambda, CloudFront, and Cognito authentication, providing a complete cloud MCP server infrastructure, supporting OAuth 2.0 authentication, real-time stream transmission, and a scalable architecture.

Wuying AgentBay is a cloud infrastructure designed by Alibaba Cloud for AI Agents, providing a one-click configuration tool and an execution environment, supporting fast integration and serverless cloud operation.

This project demonstrates a serverless MCP (Model Context Protocol) tool implementation based on AWS Lambda, including a Python server - side and a TypeScript client, supporting streaming HTTP communication. The server - side simplifies the MCP tool development process, has built - in session state management, and demonstrates integration with Amazon Bedrock.

A command-line tool for initializing serverless MCP projects on AWS, supporting users to choose their favorite frameworks.

BRAINS OS is an AI operating system based on modern cloud-native technologies, designed specifically for managing large language models and dedicated AI agents, providing visual workflow editing, a unified command system, and a secure deployment framework.

A serverless MCP service based on LanceDB, providing document storage, retrieval, and table information query functions

A simple Model Context Protocol (MCP) server based on AWS Lambda and API Gateway, deployed using the Serverless Application Model (SAM), supporting local development and testing.

YDB is an open-source distributed SQL database that combines high availability, scalability, strict consistency, and ACID transaction support. It supports multi-tenant and serverless architectures, is suitable for large-scale OLTP workloads, and can automatically handle hardware failure recovery.

Serverless PayPal MCP integration based on Cloudflare Workers, handling API requests, authentication, and secure payments, with low - latency characteristics. Suitable for webhooks, payment verification, and real - time transactions, featuring scalability, light - weight, and security.

Deploy popular MCP services to the FunctionGraph platform through the Serverless architecture

This project provides a cloud-based serverless Playwright browser service through Playwright-MCP. It uses Playwright's accessibility tree instead of pixel input to achieve fast and lightweight web page automation operations. It supports structured data interactions and is suitable for scenarios such as web page navigation, form filling, data extraction, and automated testing.

This project is a RAG (Retrieval Augmented Generation) service based on the AWS serverless architecture. It uses Lambda, OpenSearch Serverless, and S3 for document storage and retrieval, provides an MCP protocol interface through API Gateway, and integrates OpenAI for embedding and generation.