Repo Context FAQs

Question 1

How is Repo Context integrated with AI assistants like Claude or Copilot?

Accepted Answer

Repo Context functions as a Model Context Protocol (MCP) server. This means AI assistants can directly call its 18 dedicated tools (e.g., `ctx-search`, `ctx-graph`, `ctx-dsm`) to autonomously query and understand code, making it an integrated part of their workflow.

Question 2

Can Repo Context index and analyze multiple repositories?

Accepted Answer

Yes, Repo Context is designed for multi-repository analysis. It can index GitHub, GitLab, and local repositories, allowing your AI assistant to search and cross-reference code across all of them simultaneously, providing a holistic view.

Question 3

What is Repo Context (repo-ctx)?

Accepted Answer

Repo Context (repo-ctx) is a powerful tool that gives AI assistants deep, searchable access to any Git repository. It extracts real symbols, generates dependency graphs, and performs architecture analysis across 12+ programming languages, enabling AI to understand complex codebases.

Question 4

How does Repo Context improve my AI assistant's capabilities?

Accepted Answer

It solves the 'blindness' problem of AI assistants by providing them with structured access to your entire codebase. Your AI can then use Repo Context's tools to search, analyze dependencies, understand architecture, and answer complex questions about code that spans multiple files and repositories.

Question 5

What kind of deep code understanding does Repo Context offer?

Accepted Answer

Repo Context provides comprehensive code analysis including symbol extraction (functions, classes), dependency graph generation, and architectural analysis (Design Structure Matrix, cycle detection). It also supports optional Joern CPG integration for advanced call graphs and data flow tracking.

Repo Context

Repo Context

Características Principales

Casos de Uso

Características Principales

Casos de Uso