Nuanced MCP Server

Example Use Cases

• 1

  Initialize and query a repository-level call graph to understand function relationships before making code suggestions.

• 2

  Analyze which functions or files will be affected by changing a specific function (impact analysis) to give safer refactor advice.

• 3

  Discover module and file dependencies to inform code navigation, automated testing, or dependency cleanup tasks.

Description

This MCP server integrates the nuanced library to build and serve function call graphs for Python repositories via Model Context Protocol tools and resources. It provides tools to initialize and switch repositories, query function-level call graphs, analyze dependencies, and assess the impact of code changes. The server is intended to make code structure and inter-function dependencies accessible to AI assistants so they can provide more context-aware code help. It is geared toward automating code analysis workflows within agent-driven developer tools.