#backend

DSAengine is a high-performance Rust-powered algorithm engine built for modern AI agents and developer workflows. It delivers production-ready DSA APIs with memory-safe execution, fast iterative logic, and explainable complexity output in every response. Instead of rebuilding algorithms from scratch, teams can plug in robust endpoints for graphs, DP, trees, arrays, and more, then ship faster with lower runtime risk. With secure key-based access, Swagger docs, and deployment-ready architecture, DSAengine bridges interview-grade logic and real-world backend reliability. In short: Rust speed, safety, and scalability for algorithm intelligence at production scale.

The Para MCP server exposes Para's backend services over the Model Context Protocol, enabling AI assistants to interact with your Para backend for configuration management, data operations, and full-text search.

Deploy full-stack apps directly from any AI assistant. 75+ MCP tools for projects, deployments, databases, environments, security & more.

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

Expose Fascia-deployed Tools and Entity schemas to AI agents via MCP

InsForge is a backend platform for AI-driven development. It provides the core building blocks for modern apps — including Auth, Database, Storage, and Functions. It offers production-grade cloud infrastructure out of the box, serving as an alternative to AWS. With InsForge MCP, developers can connect AI agents directly to backend services and bring their MVP timelines down from weeks to hours.

本插件为 Model Context Protocol（MCP）提供了企业级 OpenAPI 文档能力，自动聚合并标准化 企业微信 与 飞书 等的开放接口文档。 通过统一上下文调用、搜索和补全，开发者可在无需频繁查阅官网文档的情况下，快速获取接口定义、请求参数、响应结构及权限要求。 适用于构建企业内部集成、自动化工作流、Bot/Agent 开发等高频 API 使用场景。

A dummy MCP server to test the mcp-chat-cli at

AI Agents with MCP Server

Open-Source General-Purpose AI Agent Platform** This project aims to build an open-source general-purpose AI Agent platform, providing end-to-end autonomous task execution, tool invocation, and virtual sandbox support through the following three core projects, empowering enterprises and individuals to efficiently achieve AI productivity: 1. **[efflux-desktop](https://github.com/isoftstone-data-intelligence-ai/efflux-desktop)**: Offers desktop application support, enabling users to manage and operate locally. 2. **[efflux-frontend](https://github.com/isoftstone-data-intelligence-ai/efflux-frontend)**: Implements a user-friendly interface for task configuration and result visualization. 3. **[efflux-backend](https://github.com/isoftstone-data-intelligence-ai/efflux-backend)**: Provides core logic and task scheduling capabilities, supporting tool invocation and virtual sandbox execution. By integrating these three projects, the platform enables efficient AI task management and automation, delivering powerful AI productivity support for enterprises and individuals. --- ### **Key Features** - **Autonomous Task Execution**: Supports end-to-end automation from task configuration to execution. - **Tool Invocation**: Integrates various tools, allowing flexible extension and invocation. - **Virtual Sandbox**: Provides a secure and isolated execution environment, ensuring task safety and stability. --- ### **Use Cases** - AI process automation within enterprises. - Developers’ integration and extension of AI tools. - Personal AI task automation management.

Simple, modular, and observable Go framework for backend applications.

Make your MPC servers secure and production ready acuvity, mcp, mcp-server, modelcontextprotocol, mtls, security

A backend system built with FastAPI and SQLAlchemy to manage travel itineraries, including hotel stays, transfers, activities, and day-wise plans. Also includes a recommendation endpoint via an MCP server.

Create a backend system for managing travel itineraries with the following components: 1. Database architecture for trip itineraries and models for the same using SQLAlchemy 2. RESTful API endpoints for creating and viewing itineraries 3. MCP server that provides recommended itineraries based on duration

An MCP (Model Context Protocol server) Api / Server

AI-Powered Cloud databases: Build, migrate, and deploy database instances with AI

MCP-server

This is an MCP server that interacts with a PocketBase instance. It allows you to fetch, list, create, update, and manage records and files in your PocketBase collections.

MCP Server for Simplenote integration with Claude Desktop

mcp

The best way to deploy mcp server. A high-performance WebSocket/SSE transport layer & gateway for Anthropic's MCP (Model Context Protocol) — powered by Nginx, Nchan, and FastAPI.

mcp_server

Open-source MCP (Mission Control Panel) server for AWS - A powerful, region-independent backend service for AWS operations