Cntx UI FAQs

Question 1

Does Cntx UI require external cloud services for its features?

Accepted Answer

No, Cntx UI performs all semantic analysis and vector embedding locally using open-source tools like tree-sitter and Transformers.js. Your code and context remain private and are not sent to external APIs.

Question 2

How do AI agents, like Claude, interact with Cntx UI?

Accepted Answer

Cntx UI exposes a Model Context Protocol (MCP) server, offering over 28 tools for AI agent interaction. Compatible agents (e.g., Claude Desktop) automatically discover these tools via a generated `.mcp.json` file for queries and operations.

Question 3

What is Cntx UI and what problem does it solve?

Accepted Answer

Cntx UI transforms your codebase into searchable, structured context, making it easier for AI agents and Large Language Models (LLMs) to navigate, understand, and consume complex code efficiently.

Question 4

What are 'bundles' in Cntx UI and how are they used?

Accepted Answer

Bundles are logical groupings of files within your codebase (e.g., by feature or layer). They provide AI agents with focused, structured context, allowing them to concentrate on relevant code sections for specific tasks.

Question 5

How does Cntx UI analyze my code and provide context?

Accepted Answer

It uses tree-sitter for semantic code analysis at the function level, extracting purpose and relationships. It then generates local vector embeddings for semantic similarity search, all without external API calls.

Cntx UI

Cntx UI

Key Features

Use Cases

Key Features

Use Cases