How do I install CTX: Context as Code MCP Server?

Follow the setup instructions on the CTX: Context as Code GitHub repository, then add the server configuration to your AI client.

What category is CTX: Context as Code MCP Server?

CTX: Context as Code is categorized under Knowledge & Memory. Browse more servers in these categories on MCPgee.

CTX: Context as Code

Name: CTX: Context as Code (CaC) tool
Author: context-hub

v1.0.0•Knowledge & Memory•stable

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

contextcontext-aware-aicontext-engineeringcontext-extractorhacktoberfest

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What is CTX: Context as Code?

CTX: Context as Code 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...

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

Organize codebase context

Context extraction and sharing

LLM integration and instructions

context-hub

Maintainer

LicenseMIT License

Languagephp

Versionv1.0.0

UpdatedMay 21, 2026

Statushealthy

Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

View Source Browse All Servers

Installation

Manual Installation

npx ctx-context-as-code-cac-tool

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms

ThroughputMedium

Resource Usage

Memory UsageLow

CPU UsageLow

How to Set Up and Use CTX: Context as Code

CTX (Context as Code) bridges the gap between large codebases and LLMs by collecting structured context from your project files through a declarative YAML configuration and serving it to AI clients via an MCP server. The tool is distributed as a zero-dependency single binary for Linux, macOS, and Windows, covering filesystem reads, regex search, PHP class hierarchy analysis, and custom project commands you define — making it trivial to give an AI agent a precise, curated view of any codebase. Teams working with microservices can register multiple projects simultaneously and ask AI assistants to reason across service boundaries.

Prerequisites

Download the CTX binary for your OS (no Node.js or Python required — single binary distribution)
A codebase directory that you want to expose to an AI assistant
An MCP-compatible AI client: Claude Desktop, Cursor, Cline, or similar
Write access to the project directory to create a context.yaml configuration file

Install the CTX binary

Download and install the ctx binary using the one-liner for your platform. On Linux/macOS use curl; on Windows use the PowerShell installer.

# Linux / macOS
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 configuration

Run 'ctx init' in your project root to generate a starter context.yaml. Edit it to define which files and directories to include, and optionally add custom tool commands.

ctx init

Test context generation

Run 'ctx generate' to verify the output. This builds the structured context documents from your YAML config and prints them to stdout so you can review what the AI will see.

ctx generate

Auto-configure your MCP client

Run the mcp:config subcommand to automatically detect installed MCP clients on your machine and write the correct server configuration entry for each.

ctx mcp:config

Start the MCP server

Launch CTX in server mode targeting your project directory. Keep this process running while using your AI client.

ctx server -c /absolute/path/to/your/project

CTX: Context as Code Examples

Client configuration

Add this to your MCP client's configuration file. Replace the path with the absolute path to your project directory.

{
  "mcpServers": {
    "ctx": {
      "command": "ctx",
      "args": ["server", "-c", "/absolute/path/to/your/project"]
    }
  }
}

Prompts to try

Once CTX is running and connected to your AI client, try these prompts against your codebase.

- "List all PHP classes in the src directory and describe their relationships"
- "Search the project for all files that import the Logger class and explain how it's used"
- "Read the context from all microservices and explain how service A communicates with service B"
- "Run the tests using the custom tool in my context.yaml and summarize any failures"
- "Generate a README section describing the project structure based on the collected context"

Troubleshooting CTX: Context as Code

'ctx' command not found after installation

The installer places the binary in ~/.local/bin on Linux. Ensure this is in your PATH by adding 'export PATH="$HOME/.local/bin:$PATH"' to your shell profile and restarting the terminal. On Windows, re-run the PowerShell script with the -AddToPath flag.

MCP client shows ctx server as disconnected

Confirm the ctx server process is running in a separate terminal and that the 'command' path in your MCP config matches the absolute location of the ctx binary. Use 'which ctx' on Linux/macOS or 'where ctx' on Windows to find the correct path.

context.yaml errors or unexpected files being included

Run 'ctx generate' in verbose mode to see which patterns are matching. The YAML configuration uses glob patterns — ensure patterns like '**/*.php' are quoted in YAML to avoid shell interpretation issues.

Frequently Asked Questions about CTX: Context as Code

What is CTX: Context as Code?

CTX: Context as Code 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 CTX: Context as Code?

Follow the installation instructions on the CTX: Context as Code GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with CTX: Context as Code?

CTX: Context as Code works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is CTX: Context as Code free to use?

Yes, CTX: Context as Code is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

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Set Up CTX: Context as Code in Your Editor

Choose your AI client for step-by-step setup instructions.

🖥️

Claude Desktop

macOS & Windows app

⌨️

Claude Code

CLI & terminal

📝

Cursor

AI-first code editor

💻

VS Code

GitHub Copilot MCP

🏄

Windsurf

Codeium AI editor

🔌

Cline

VS Code extension

Quick Config Preview

{
  "mcpServers": {
    "ctx-context-as-code-cac-tool": {
      "command": "npx",
      "args": ["-y", "ctx-context-as-code-cac-tool"]
    }
  }
}

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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