#backend

mcp_server

MCP-server

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

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.

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

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

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

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.

An MCP (Model Context Protocol server) Api / Server

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

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

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

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

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.

MCP Server for Simplenote integration with Claude Desktop

AI Agents with MCP Server

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.