Skillget

infoundry

mcp
Guvenlik Denetimi
Basarisiz
Health Uyari
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 8 GitHub stars
Code Basarisiz
  • spawnSync — Synchronous process spawning in infoundry-mcp-server/src/index.ts
  • process.env — Environment variable access in infoundry-mcp-server/src/index.ts
  • network request — Outbound network request in infoundry-mcp-server/src/index.ts
Permissions Gecti
  • Permissions — No dangerous permissions requested

Bu listing icin henuz AI raporu yok.

SUMMARY

AI-powered cloud architect agent that analyzes codebases and generates optimized infrastructure as code.

README.md

InFoundry

InFoundry is a self-adaptive Cloud Architect + SRE agent that inspects codebases and telemetry, proposes deployable IaC/CI changes, runs safe test deployments, and iteratively optimizes cost, latency, and reliability with human-in-the-loop approvals.

Demo: https://youtu.be/FSsgkSt77LM

Features

  • AI-Powered Architecture Recommendations - Uses fine-tuned Oumi model for intelligent cloud architecture decisions
  • Kestra Pipeline Orchestration - End-to-end workflow from repo analysis to PR creation
  • MCP Server for Cline Integration - Expose all tools via Model Context Protocol
  • React UI Dashboard - Visual architecture editor with React Flow
  • IaC Generation - Automatic Terraform generation for AWS

Quick Start

Prerequisites

  • Python 3.11+
  • Node.js 18+
  • Optional: Docker, kind, localstack

Installation

# Clone the repository
git clone https://github.com/your-org/infoundry.git
cd infoundry

# Install Python dependencies
pip install -r requirements.txt

# Install UI dependencies
cd ui && npm install && cd ..

# Install MCP server dependencies
cd infoundry-mcp-server && npm install && npm run build && cd ..

Run the UI

cd ui
cp .env.example .env.local
# Edit .env.local with your Kestra credentials if needed
npm run dev
# Open http://localhost:3000

Run the Oumi Server

cd oumi
python serve.py
# API available at http://localhost:8000

Project Structure

infoundry/
├── docs/                    # Documentation
├── examples/                # Sample data files
├── infoundry-mcp-server/    # Cline MCP integration
├── orchestrator/            # Kestra pipeline definitions
├── oumi/                    # AI model training & serving
├── scripts/                 # Utility scripts
├── tests/                   # Unit tests
└── ui/                      # Next.js React dashboard

Documentation

Testing

# Python tests
pip install pytest fastapi httpx
pytest tests/ -v

# MCP server tests
node tests/test_mcp_server.mjs

Screenshots

Screenshot Description
Cline Integration Cline MCP Integration
Kestra Flows Kestra Pipeline Flows
OS Overview Open Source Architecture
Screenshot 1 Application Screenshot
Screenshot 2 Application Screenshot
Screenshot 3 Application Screenshot
Screenshot 4 Application Screenshot

License

Released under the MIT License.

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