Parse repositories, index symbols, and answer codebase questions autonomously.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CodeAgent MCP" yet — see the docs or source repo.
Analyze this repository’s overall structure, identify the core modules for user authentication, the main entry files, and the call relationships between them, then summarize in bullet points.
A structured summary of authentication modules, entry points, and call chains.
Find the definition of the processPayment function, all call sites, and the key classes or methods it depends on, then explain its execution flow and potential risks.
The function definition location, references, execution logic, and risk analysis.
I just inherited this project. Summarize the codebase by module, explain where the database access layer, API layer, and business layer are, and list the files I should read first.
A layered overview, key directory explanations, and a recommended reading path.
Get intelligent, context-aware code reviews and improvement suggestions with MCP.
Gives AI coding agents a structural map of your repository fast.
LLM-native MCP tools for reading, understanding, and safely modifying code
Search code semantically and answer questions about a codebase.
Retrieve GitHub code at symbol level to explore repos with far lower AI token costs.
Analyze code structure and Git history while drastically reducing AI token usage.