Skip to main content

The AI That Builds Itself: Recursive Claude Spawning via Meta-MCP

Project description

Context Foundry Banner

🏭 Context Foundry

The AI That Builds Itself: Recursive Claude Spawning via Meta-MCP Context Foundry uses Claude Code to spawn fresh Claude instances that autonomously build complete projects. Walk away and come back to production-ready software.

Version 2.4.0 - November 2025 🎯 BAML JSON-First Architecture: First-Try Success!

GitHub release License


🚀 Quick Start

Get up and running in 2 minutes.

👉 Read the Quick Start Guide


🤔 What is Context Foundry?

Context Foundry is an MCP (Model Context Protocol) server that empowers Claude Code CLI to build complete software projects autonomously with self-healing test loops and automatic GitHub deployment.

Unlike traditional AI coding tools that require constant supervision, Context Foundry lets you describe what you want and walk away while it researches, designs, builds, tests, documents, and deploys your application.

Real Example:

User: "Build a Mario platformer game in JavaScript"
[User walks away for 7 minutes]
Result: ✅ Complete game deployed to GitHub, all tests passing

✨ Key Features

Context Foundry is packed with innovations to make autonomous development reliable and powerful.

👉 See All Features


🏗️ Architecture

Context Foundry uses a unique Meta-MCP architecture that allows Claude to orchestrate itself.

graph LR
    A[Your Claude Session] -->|"Build a weather app"| B[MCP Server]
    B -->|Spawns| C[Fresh Claude Instance #1]
    C -->|Spawns| D[Fresh Claude Instance #2]
    C -->|Spawns| E[Fresh Claude Instance #3]
    D -->|100% Complete| C
    E -->|100% Complete| C
    C -->|✅ Deployed to GitHub| A

👉 Read the Architecture Guide 👉 Explore Innovations


📚 Documentation


🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details on how to submit pull requests, report issues, and suggest features.


Built with ❤️ by the Context Foundry Team

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

context_foundry-2.2.0.tar.gz (7.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

context_foundry-2.2.0-py3-none-any.whl (9.4 MB view details)

Uploaded Python 3

File details

Details for the file context_foundry-2.2.0.tar.gz.

File metadata

  • Download URL: context_foundry-2.2.0.tar.gz
  • Upload date:
  • Size: 7.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for context_foundry-2.2.0.tar.gz
Algorithm Hash digest
SHA256 eb6f124120956465b88aadcc4498be945402725bdf40641ab737c7cad3401444
MD5 e221b6f3cc52911542fa3b584dfe271a
BLAKE2b-256 4ea463bd177415e28ea4be1960327fc01450e32f887b3ccf462c4b81eb6eaec9

See more details on using hashes here.

File details

Details for the file context_foundry-2.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for context_foundry-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8afc8530e12728d82aaec7d6310d2efd446339d690ea88ec3d67d9a87fb1e906
MD5 ac729e94fa06a378b58e06d14406ec28
BLAKE2b-256 e8bab2c44827d09b721dd616ea13cbd78ee9386f4c25b3a169fff142b9a2f446

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page