Content
# CTX: Your AI Coding Companion
> MCP-powered development toolkit that gives AI full access to your codebase
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</p>
## What is CTX?
**CTX** is a single ~20 MB binary with zero dependencies. No Node.js, no Python, no runtime — just download, connect
to your MCP client, and start coding with AI.
Connect it to [Claude Desktop](https://claude.ai/download), [Cursor](https://cursor.com),
[Cline](https://github.com/cline/cline), or any MCP-compatible client — and your AI gets direct access to read, write,
search, and modify files across your projects.
CTX is designed with **Claude Desktop** in mind and works best with it. Claude's deep understanding of code combined
with CTX's filesystem tools, custom commands, and multi-project support creates a seamless development experience —
like having a senior developer who knows your entire codebase sitting right next to you.
## Table of Contents
- [Key Features](#key-features)
- [Quick Start](#quick-start)
- [How It Works](#how-it-works)
- [Use Cases](#use-cases)
- [Full Documentation](https://docs.ctxllm.com)
- [License](#license)
## Key Features
### 🛠 MCP Server — AI Develops Directly in Your Project
CTX provides a built-in MCP server with powerful filesystem tools:
- **Read & write files** — AI creates, modifies, and analyzes code directly
- **Search across codebase** — text and regex search with context lines
- **PHP structure analysis** — class hierarchy, interfaces, and dependencies at a glance
- **Directory exploration** — smart filtering by patterns, dates, sizes, and content
### ⚡ Custom Tools — Turn Any Command into an AI Tool
Define project-specific commands that AI can execute through MCP:
```yaml
tools:
- id: run-tests
description: "Run project tests with coverage"
type: run
commands:
- cmd: vendor/bin/phpunit
args: [ "--coverage-html", "logs/coverage" ]
- id: deploy
description: "Deploy to staging"
type: run
schema:
type: object
properties:
branch:
type: string
default: "main"
commands:
- cmd: ./deploy.sh
args: [ "{{branch}}" ]
```
Tests, migrations, linters, deployments — anything your terminal can run, AI can trigger.
### 📁 Multi-Project Development
Work across multiple microservices simultaneously. AI sees all your projects and can develop cross-cutting features:
```yaml
projects:
- name: backend-api
path: ../backend
description: "REST API service"
- name: auth-service
path: ../auth
description: "Authentication microservice"
- name: shared-lib
path: ../packages/shared
description: "Shared domain models"
```
Start a session, ask AI to list available projects, and develop features that span multiple services — all in one
conversation.
### 🎯 Smart Context Generation
Define exactly what context your AI needs. CTX collects code from files, git diffs, GitHub repos, URLs, and more — then
structures it into clean markdown documents:
```yaml
documents:
- description: User Authentication System
outputPath: auth.md
sources:
- type: file
sourcePaths: [ src/Auth ]
filePattern: "*.php"
- type: git_diff
commit: "last-week"
```
### 📐 Declarative Config with JSON Schema
Everything is configured through `context.yaml` with full JSON Schema support. Your AI assistant can generate and modify
these configs for you — just describe what you need.
```bash
ctx init # Generate initial config
ctx generate # Build context documents
ctx server # Start MCP server
```
## Quick Start
### Install
**Linux / WSL:**
```bash
curl -sSL https://raw.githubusercontent.com/context-hub/generator/main/download-latest.sh | sh
```
**Windows:**
```bash
powershell -c "& ([ScriptBlock]::Create((irm 'https://raw.githubusercontent.com/context-hub/generator/main/download-latest.ps1'))) -AddToPath"
```
### Connect to Claude Desktop (or Any MCP Client)
The fastest way — auto-detect OS and configure your MCP client:
```bash
ctx mcp:config
```
Or add manually to your MCP client config:
```json
{
"mcpServers": {
"ctx": {
"command": "ctx",
"args": [
"server"
]
}
}
}
```
For a specific project:
```json
{
"mcpServers": {
"ctx": {
"command": "ctx",
"args": [
"server",
"-c",
"/path/to/project"
]
}
}
}
```
That's it. Your AI assistant now has full access to your project through MCP.
### Optional: Generate Context Documents
If you also want to generate static context files for copy-paste workflows:
```bash
cd your-project
ctx init # Create context.yaml
ctx generate # Build markdown contexts
```
## How It Works
CTX operates in two modes that complement each other:
**MCP Server Mode** — AI interacts with your codebase in real-time:
```
AI Assistant ←→ CTX MCP Server ←→ Your Project Files
↕
Custom Tools (tests, deploy, lint...)
Multiple Projects
Context Documents
```
**Context Generation Mode** — build structured documents for any LLM:
```
context.yaml → Sources → Filters → Modifiers → Markdown Documents
```
## Use Cases
### 🔧 AI-Powered Development (MCP)
Connect CTX to Claude Desktop or Cursor. Ask your AI to explore the codebase, understand architecture, write new
features, run tests, and fix issues — all without leaving the conversation.
### 🏗 Multi-Service Feature Development
Working on a feature that touches multiple microservices? Register all projects, and AI can read code from one service,
understand shared models, and implement changes across the entire stack.
### 📝 Context for Code Review
Generate context documents with recent git diffs, relevant source files, and architecture overview. Share with reviewers
or AI assistants for thorough, informed reviews.
### 🚀 Onboarding
New team member? Generate a comprehensive project overview — architecture, key interfaces, domain models — in seconds.
AI can then answer questions about the codebase with full context.
### 📚 Documentation Generation
Point CTX at your source code with modifiers like `php-signature` to extract API surfaces, then let AI generate
comprehensive documentation.
## Full Documentation
For complete documentation, including all features and configuration options:
https://docs.ctxllm.com
## Join Our Community
[](https://discord.gg/YmFckwVkQM)
**What you'll find:**
- 💡 Share and discover configurations and workflows
- 🛠️ Get help with setup and advanced usage
- 🚀 Showcase your AI development workflows
- 📢 First to know about new releases
---
### License
This project is licensed under the MIT License.
