Context Foundry
Recursive Claude spawning for autonomous project builds with self-healing test loops
What is Context Foundry?
Context Foundry is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to recursive claude spawning for autonomous project builds with self-healing test loops
Recursive Claude spawning for autonomous project builds with self-healing test loops
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Recursive Claude spawning for autonomous project builds with
Use Cases
Maintainer
Works with
Installation
NPM
npx -y context-foundryPIP
pip install context-foundryManual Installation
npx -y context-foundryConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Context Foundry
What is Context Foundry?
Context Foundry is a Model Context Protocol (MCP) server that recursive claude spawning for autonomous project builds with self-healing test loops It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Context Foundry?
Install via npm with the command: npx -y context-foundry. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Context Foundry?
Context Foundry works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Context Foundry free to use?
Yes, Context Foundry is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Coding Agents MCP Servers
Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Context Foundry in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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