Nuanced is a code analytics tool for AI agents that adds “compiler-like” context to coding workflows. It runs as an MCP server and enriches Cursor, Claude Code, Codex, and other agent environments with accurate call graphs and symbol information.
A project map for AI agents
Instead of working blind, an agent gets a structured view of the repository and how code connects across files and modules. Static analysis helps agents place changes in the right locations more often on the first try.
- Function and method relationships via call graphs
- Symbol data for navigating definitions and usage
- Cross-module links to understand dependencies in larger repos
Built by code-intelligence veterans
Nuanced is built by former GitHub engineers with experience in scalable code search and intelligent code suggestions. That background shows up in the focus on accuracy, scalability, and working reliably with large codebases.
Fits into existing AI coding tools
Nuanced integrates with the AI assistants you already use through MCP. Set up the connection once, then keep using your preferred agent with a more dependable understanding of project structure and dependencies.
