Nuanced
Provides call graph analysis capabilities to LLMs through a Model Context Protocol (MCP) server.
关于
This Model Context Protocol (MCP) server empowers Large Language Models (LLMs) to deeply understand code structure by providing access to function call graphs. Through standardized tools and resources, AI assistants can initialize and explore call graphs for Python repositories, analyze function dependencies, and ultimately deliver more contextually aware and accurate code assistance.
主要功能
- Initialize call graphs for Python repositories
- Explore function call relationships
- Analyze dependencies between functions
- Analyze impact of code changes
- Provides a function analysis prompt
使用案例
- Enhance code completion and suggestion accuracy in LLM-powered IDEs.
- Improve the ability of AI assistants to answer code-related questions.
- Automate code review processes by identifying potential issues based on dependency analysis.
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