Install
$ agentstack add mcp-crypticsaiyan-infoundry ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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
- [Blueprint & Architecture](docs/BLUEPRINT.md) - Full system design
- [Kestra Architecture](docs/kestra-architecture.md) - Pipeline documentation
- [Oumi Model](oumi/README.md) - AI model training guide
- [MCP Server](infoundry-mcp-server/README.md) - Cline integration
Testing
# Python tests
pip install pytest fastapi httpx
pytest tests/ -v
# MCP server tests
node tests/test_mcp_server.mjs
Screenshots
| Screenshot | Description | |------------|-------------| | | Cline MCP Integration | | | Kestra Pipeline Flows | | | Open Source Architecture | | | Application Screenshot | | | Application Screenshot | | | Application Screenshot | | | Application Screenshot |
License
Released under the [MIT License](LICENSE).
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: crypticsaiyan
- Source: crypticsaiyan/infoundry
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.