A [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server that provides call graph analysis capabilities to LLMs through the
Nuanced MCP connects Nuanced MCP to AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server that provides call graph analysis capabilities to LLMs through the nuanced library.
A Model Context Protocol (MCP) server that provides call graph analysis capabilities to LLMs through the nuanced library.
This MCP server enables LLMs to understand code structure by accessing function call graphs through standardized tools and resources. It allows AI assistants to:
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| initialize_graph | Initialize a code graph for the given repository path |
| switch_repository | Switch to a different initialized repository |
| list_repositories | List all initialized repositories |
| get_function_call_graph | Get the call graph for a specific function |
| Inputs: | file_path (string) |
| repo_path | string, optional) - uses active repository if not specified |
| analyze_dependencies | Find all module or file dependencies in the codebase |
| Inputs | at least one required): |
| file_path | string, optional) |
| module_name | string, optional) |
| analyze_change_impact | Analyze the impact of changing a specific function |
{
"mcpServers": {
"nuanced": {
"command": "uv",
"args": [
"--directory",
"/path/to/nuanced-mcp",
"run",
"nuanced_mcp_server.py"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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