Generator
CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assis
What is Generator?
Generator is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ctx: a tool that solves the context management gap when working with llms like chatgpt or claude. it helps developers organize and automatically collect information from their codebase into structured...
CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assis
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- CTX: a tool that solves the context management gap when work
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx generatorConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Generator
CTX (Context as Code) is a context-management tool that solves the gap between your codebase and LLMs like Claude or ChatGPT. It reads your project files through a declarative context.yaml configuration and serves the collected context to any MCP-compatible AI client via a built-in MCP server. The tool ships as a single ~20 MB binary with zero runtime dependencies — no Node.js or Python needed — and supports filesystem operations, regex search, PHP structure analysis, and custom project-specific commands you define in YAML.
Prerequisites
- Download the CTX binary for your OS (Linux, macOS, or Windows) — no Node.js or Python required
- A project directory with source code you want to expose to the AI
- An MCP-compatible AI client: Claude Desktop, Cursor, Cline, or similar
- Optional: a context.yaml already written, or run 'ctx init' to generate one
Download and install the CTX binary
Run the appropriate one-liner for your OS to download and install the ctx binary. On Linux/WSL use curl; on Windows use the PowerShell script.
# Linux / macOS / WSL
curl -sSL https://raw.githubusercontent.com/context-hub/generator/main/download-latest.sh | sh
# Windows (PowerShell)
powershell -c "& ([ScriptBlock]::Create((irm 'https://raw.githubusercontent.com/context-hub/generator/main/download-latest.ps1'))) -AddToPath"Initialize a context.yaml in your project
Run 'ctx init' inside your project directory to generate a starter context.yaml that you can customize with file patterns, document sections, and custom tools.
ctx initGenerate context documents
Run 'ctx generate' to collect and output the structured context documents defined in your context.yaml. Review the output to verify the right files are included.
ctx generateConfigure your MCP client automatically
Run 'ctx mcp:config' to auto-detect your installed MCP clients (Claude Desktop, Cursor, etc.) and write the server configuration for you.
ctx mcp:configStart the MCP server
Start CTX in MCP server mode, pointing it at your project directory. Your AI client will connect to this server to access the context.
ctx server -c /path/to/your/projectGenerator Examples
Client configuration
Manual MCP client configuration for CTX. Replace /path/to/your/project with the absolute path to your project directory.
{
"mcpServers": {
"ctx": {
"command": "ctx",
"args": ["server", "-c", "/path/to/your/project"]
}
}
}Prompts to try
Once CTX is running and connected, try these prompts to leverage your codebase context.
- "Read the context from my project and explain the overall architecture"
- "Search the codebase for all usages of the UserRepository class and list the methods that call it"
- "Look at the PHP classes in the src/Domain folder and identify any missing interfaces"
- "Run the test suite using the custom tool defined in my context.yaml and report the results"
- "Generate onboarding documentation for a new developer based on the project files"Troubleshooting Generator
'ctx: command not found' after installation
The install script places the binary in a directory that may not be on your PATH. On Linux, try adding ~/.local/bin to your PATH. On Windows, re-run the PowerShell script with the -AddToPath flag, then open a new terminal.
MCP client cannot find or connect to the ctx server
Run 'ctx mcp:config' again to re-write the client config, or manually verify that the 'command' value in your MCP config points to the full absolute path of the ctx binary (run 'which ctx' or 'where ctx' to find it).
context.yaml validation errors on ctx generate
CTX uses JSON Schema validation on the context.yaml. Run 'ctx generate' with verbose output to see which field is invalid. The most common issue is an incorrect file path pattern or a missing required 'id' field on a custom tool definition.
Frequently Asked Questions about Generator
What is Generator?
Generator is a Model Context Protocol (MCP) server that ctx: a tool that solves the context management gap when working with llms like chatgpt or claude. it helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with ai assis It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Generator?
Follow the installation instructions on the Generator GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Generator?
Generator works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Generator free to use?
Yes, Generator is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Generator 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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