Ctx++ FAQs

Question 1

Does Ctx++ require cloud services or complex setup?

Accepted Answer

No, Ctx++ prioritizes minimal setup. It's a single Go binary that can run locally, integrating with Ollama for embeddings. AWS Bedrock and OpenAI-compatible endpoints are also supported for embedding services, offering flexibility without requiring extensive cloud infrastructure.

Question 2

What is Ctx++ and how does it help AI coding agents?

Accepted Answer

Ctx++ is an MCP (Model Context Protocol) server designed to give AI coding agents precise, structured understanding of large codebases. It extracts and indexes symbols, traces call graphs, and enables rapid queries, allowing AI to interact with code more effectively.

Question 3

How does Ctx++ ensure fast query performance?

Accepted Answer

Ctx++ utilizes SQLite with highly optimized FTS5 (Full-Text Search) and vector search indexing. This architecture ensures that queries are fast and complete within typical timeout windows, regardless of the codebase size, preventing AI agent timeouts.

Question 4

Which programming languages does Ctx++ support?

Accepted Answer

Ctx++ supports comprehensive symbol extraction for over 15 programming languages, including Go, Java, TypeScript, Rust, C++, C#, Kotlin, Python, and many others, leveraging tree-sitter parsing.

Question 5

What are the core features of Ctx++?

Accepted Answer

Key features include fast codebase indexing with FTS5 and vector search, automatic call graph traversal to map feature implementations, blast radius analysis to identify impact of changes, and both semantic and keyword symbol search across multiple languages.

Ctx++

Ctx++

Key Features

Use Cases

Key Features

Use Cases