InsForge/insforge-mcp

Overview

InsForge/insforge-mcp is a backend-as-a-service platform designed for AI agents to build and manage full-stack applications. It provides authentication, PostgreSQL database, storage, and serverless functions as production-ready services. The tool is built with TypeScript and integrates with AI workflows via the Model Context Protocol.

Best for

Best for
Developers building AI agent-driven applications that need backend services

Use cases

• Building full-stack applications autonomously with AI agents
• Managing backend services like auth, database, and storage via AI
• Integrating AI agent workflows with production-ready backend infrastructure

How to use

Install

npx @insforge/install --client claude-code --env API_KEY=your_api_key --env API_BASE_URL=http://localhost:7130

Tested with

Claude Code, Cursor, Windsurf, Cline, Roo Code, Trae

Example client config

{\n  "mcpServers": {\n    "insforge": {\n      "command": "npx",\n      "args": [\n        "-y",\n        "@insforge/mcp@latest"\n      ],\n      "env": {\n        "API_KEY": "your_api_key",\n        "API_BASE_URL": "http://localhost:7130"\n      }\n    }\n  }\n}

Notes

InsForge/insforge-mcp is a backend-as-a-service platform designed for AI agents to build and manage full-stack applications. It provides authentication, PostgreSQL database, storage, and serverless functions as production-ready services. The tool is built with TypeScript and integrates with AI workflows via the Model Context Protocol.

27 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Building full-stack applications autonomously with AI agents
• Managing backend services like auth, database, and storage via AI
• Integrating AI agent workflows with production-ready backend infrastructure

Pros

• Provides a complete backend stack (auth, database, storage, functions) out of the box
• Designed for AI agent integration, enabling autonomous app management
• Built with TypeScript for type safety and modern development

Cons

• Small community with only 27 GitHub stars, indicating early stage
• Dependency on AI agent capabilities may limit direct human developer usage
• Limited documentation or support ecosystem due to low adoption

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.