What programming languages does it support?
It supports Python repositories for call graph analysis.
@MattMorgis
基本情報
A Model Context Protocol (MCP) server that provides call graph analysis capabilities to LLMs through the nuanced library
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"nuanced": {
"command": "uv",
"args": [
"--directory",
"/path/to/nuanced-mcp",
"run",
"nuanced_mcp_server.py"
]
}
}
}Initialize a code graph for the given repository path
Switch to a different initialized repository
List all initialized repositories
Get the call graph for a specific function
Find all module or file dependencies in the codebase
Analyze the impact of changing a specific function
A Model Context Protocol (MCP) server that provides call graph analysis capabilities to LLMs through the nuanced library. It enables AI assistants to understand code structure by accessing function call relationships and dependencies.
Configure it with Claude Desktop by adding the provided UV-based JSON entry to your claude_desktop_config.json, specifying the path to the server script.
It supports Python repositories for call graph analysis.
Add the provided JSON configuration using `uv` to your `claude_desktop_config.json`, pointing to the server script’s directory.
Tools include `initialize_graph`, `switch_repository`, `list_repositories`, `get_function_call_graph`, `analyze_dependencies`, and `analyze_change_impact`.
Resources include `graph://summary`, `graph://repo/{repo_path}/summary`, and `graph://function/{file_path}/{function_name}`.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

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