#serverless

Connect AI assistants to AppAmbit — the command center for your mobile & desktop apps. Query real-time analytics, sessions, and crash reports; read and push remote config; send push notifications, provision and query managed per-app SQLite databases, deploy serverless Cloud Code functions; and manage a headless CMS. Also generates SDK setup snippets and runs integration diagnostics. Supports .NET MAUI, Swift, Objective-C, Android and more. Built for indie devs, mobile teams, and agencies.

The orkestr MCP server gives AI agents full control of the orkestr deployment platform over the Model Context Protocol. From an MCP client an agent can create and manage projects from a GitHub, GitLab, Bitbucket, or Codeberg repo, spin up environments, trigger and roll back deployments, deploy and invoke serverless functions, provision and back up managed PostgreSQL and Redis add-ons, manage custom domains, and read live logs, build logs, metrics, and health, all on infrastructure that stays in the EU.

AI-native Postgres + REST API + auth + storage + static sites + serverless functions. Pay with x402 USDC on Base. No humans, no signups.

Build apps with Firebase Authentication, Firestore, Storage, and more. Real-time synchronization and serverless backend.

A production-ready MCP server that exposes LangChain agent capabilities through the Model Context Protocol. Provides multi-step reasoning with ReAct pattern, tool support (web search, weather lookup), and is deployed on Google Cloud Run for scalable, serverless operation.

为微信小程序和全栈应用提供一站式后端服务 One-stop backend services for WeChat Mini-Programs and full-stack apps

为微信小程序和全栈应用提供一站式后端服务 One-stop backend services for WeChat Mini-Programs and full-stack apps

为微信小程序和全栈应用提供一站式后端服务 One-stop backend services for WeChat Mini-Programs and full-stack apps

QuerySculptor is a GraphQL query builder designed for AI agents that provides 26 structured tools via the Model Context Protocol (MCP). Instead of generating complex GraphQL queries from scratch, AI agents can build queries step-by-step with real-time validation, schema introspection, and error prevention. It works with Claude, Cursor, and other MCP clients, using Redis for session management and featuring a live demo with the Pokemon API. The tool transforms the traditional error-prone approach of raw GraphQL generation into a guided, conversational workflow perfect for AI assistants and chatbots.

Leverages your Schemas and Access Patterns to interact with your DynamoDB Database using natural language.

AWS API/lambda hosting MCP client server that queries bedrock LLM using MCP hosted tools

Node.js/Fastify/NestJS API for the backend

An .NET Aspire AI chat application that demonstrates how to chat with custom data (RAG - Event Driven) and context extensions (MCP Server) using an AI language model. .NET Aspire, RAG, Qdrant and MCP Server returning GitLab Groups based on search pattern

以Serverless方式将热门MCP部署到FunctionGraph

Lambda Ruby App Demoing MCP Servers

Serverless implementation of the Model Context Protocol (MCP)

This repository contains a ready-to-use Model Context Protocol (MCP) server that supercharges your development workflow. As a new developer, I created this tool to consolidate documentation and streamline my development process—now I'm sharing it with you.

Interact with the Neon serverless Postgres platform

Interact with Tinybird serverless ClickHouse platform