Go Code Graph FAQs

Question 1

How does Go Code Graph leverage AI?

Accepted Answer

It includes an MCP server that allows AI assistants (like Claude Desktop) to query your Go codebase using natural language. This facilitates intelligent analysis, debugging, refactoring, and code quality assessment based on the generated graph.

Question 2

What is Go Code Graph?

Accepted Answer

Go Code Graph transforms Go source code into comprehensive, explorable graphs. This enables deep code analysis, interactive visualization, and AI-powered understanding of complex Go codebases via the Model Context Protocol (MCP).

Question 3

What kind of code analysis can Go Code Graph perform?

Accepted Answer

Go Code Graph performs deep code analysis, extracting 9 node types and 12 relationship types from Go AST. It supports interactive visualization, architectural detection, impact analysis, pattern finding, call path tracing, and semantic search.

Question 4

Does Go Code Graph integrate with other tools or databases?

Accepted Answer

Yes, it offers robust integration with Neo4j for advanced graph database queries and complex architectural analysis. It's also designed to seamlessly connect with AI assistants via its Model Context Protocol (MCP) server.

Question 5

Can Go Code Graph analyze external Go dependencies?

Accepted Answer

Yes, Go Code Graph allows you to selectively include external Go packages and their sub-packages in the graph analysis. This provides comprehensive insights into API usage, integration points, and call chains involving third-party libraries.

Go Code Graph

Go Code Graph

Key Features

Use Cases

Key Features

Use Cases