InsForge - An Open-Source Backend Platform for AI Coding Agents

What Is InsForge

InsForge is an open-source backend platform for AI coding agents. Through the MCP Server and CLI interface, the tool enables Cursor、Claude Code、Copilot and other agents to autonomously operate databases, authentication, storage, Edge Functions, model gateways, and deployments like backend engineers, achieving end-to-end automation of full-stack development without manually switching to consoles for configuration.

InsForge's Main Features

Database: A standalone PostgreSQL instance with built-in pgvector vector search; agents can directly read the schema and execute migrations.
Authentication: Built-in user registration, login, and session management, supporting JWT and OAuth (Google/GitHub, etc.).
File Storage: S3-compatible storage; agents can create buckets, configure permissions, and upload files.
Edge Functions: Deno-based serverless functions; agents can write, deploy, and update backend logic.
Model Gateway: A unified OpenAI-compatible interface connecting to multiple LLM providers without configuring keys separately.
Real-Time Communication: A WebSocket-based Pub/Sub mechanism for instant push of data changes, with built-in RLS permission control.
Site Deployment: After an agent finishes writing frontend code, it can directly build, inject environment variables, and deploy it live.

InsForge's Technical Principles

MCP Server Architecture: Encapsulates backend operations as standardized tool interfaces; agents invoke them via natural language rather than directly operating the REST API.
Backend Context Exposure: Exposes complete context to agents, including schema structure, table relationships, RLS permissions, deployed functions, and runtime logs.
Context-Aware Execution: Agents operate based on an understanding of the complete backend state, avoiding repeated requests caused by blindly probing interfaces.
Deno Edge Runtime: Edge Functions are based on Deno to implement lightweight serverless computing.
WebSocket Real-Time Push: A built-in publish-subscribe mechanism enables real-time data synchronization.

How to Use InsForge

Cloud Solution: Visit the InsForge official website https://insforge.dev/ , register an account and create a project, then obtain the API Key and project URL.
Connect to Cursor: Execute npx @insforge/install --client cursor --env API_KEY=你的Key --env API_BASE_URL=项目URL for one-click installation.
Connect to Claude Code: Execute claude mcp add insforge npx -- -y @insforge/mcp@latest --env API_KEY=你的Key --env API_BASE_URL=项目URL to add the MCP.
Verify the Connection: Send the prompt to the agent, "I'm using InsForge as my backend platform, call InsForge MCP's fetch-docs tool to learn about InsForge instructions." to confirm connectivity.
Self-Hosted Solution: After installing Docker and Node.js locally, execute git clone、cp .env.example .env、docker compose -f docker-compose.prod.yml up to start the service.
Access the Local Instance: Open http://localhost:7130 and follow the on-screen instructions to complete the MCP connection configuration.
Multi-Project Management: Copy different .env files and modify the ports, then run multiple isolated projects using the --env-file and -p parameters.

InsForge's Core Advantages

Agent-native design: Designed specifically for AI Agents, not a traditional human developer console, enabling full automation of backend operations.
MCP standard compatible: Supports mainstream Agents such as Cursor, Claude Code, GitHub Copilot, Codex, Cline, and Windsurf.
Leading performance: MCPMark benchmark tests show completion time is 1.6x faster than Supabase, Token usage is 30% lower, and accuracy is 1.7x higher.
Open source and self-hostable: Apache 2.0 license, supports local deployment via Docker Compose and one-click deployment on Railway/Zeabur/Sealos.
Full-stack closed loop: One-stop coverage from database to deployment, enabling Agents to independently complete full product delivery.

InsForge project address

Project website：https://insforge.dev/
GitHub repository：https://github.com/InsForge/InsForge

Comparison of InsForge with similar competitors

Dimension	InsForge	Supabase	Firebase
Positioning	Backend platform for AI Agents	Open-source Firebase alternative for human developers	Google fully managed BaaS
Agent integration	MCP Server + CLI native support	Requires manual API configuration	Requires manual SDK configuration
Context exposure	Full Schema/RLS/logs open to Agents	Traditional API calls	Traditional API calls
Database	PostgreSQL + pgvector	PostgreSQL	Firestore/Realtime DB
Authentication	JWT + OAuth built in	Multiple authentication methods built in	Firebase Auth
Deployment	Built-in site deployment + one-click templates	Requires coordination with other platforms	Firebase Hosting
Open-source license	Apache 2.0	Apache 2.0	Closed source
Self-hosting	Docker Compose / one-click deployment	Docker / managed hosting	Cloud only
MCPMark completion time	150s	239s	–
MCPMark accuracy	47.6%	28.6%	–

InsForge use cases

AI-assisted full-stack development: When individual developers use Cursor/Claude Code, the Agent automatically configures the backend and deploys it live.
Rapid launch of independent products: Solo developers can release an MVP without manually building authentication, database, storage, and payment systems.
Building internal enterprise tools: Quickly build backends for internal applications in private environments through the self-hosted version.
Multi-Agent collaboration projects: Multiple Agents within a team share the same backend context and collaboratively complete complex system development.
Prototype validation and iteration: Quickly validate product ideas, with Agents autonomously modifying the Schema and deploying new versions.