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MCP verified MIT Self-run

Infoundry

mcp-crypticsaiyan-infoundry · by crypticsaiyan

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

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Install

$ agentstack add mcp-crypticsaiyan-infoundry

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-crypticsaiyan-infoundry)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
4mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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 →
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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.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.