Nuanced MCP Server
by MattMorgis
The Nuanced MCP Server provides call graph analysis capabilities to LLMs, enabling them to understand code structure. It leverages the Model Context Protocol (MCP) and the nuanced library to facilitate contextually aware code assistance.
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What is Nuanced MCP Server?
This is a Model Context Protocol (MCP) server designed to provide Large Language Models (LLMs) with access to function call graphs for code analysis. It allows LLMs to understand code structure and dependencies.
How to use Nuanced MCP Server?
The server exposes an API with tools and resources to initialize code graphs, explore function call relationships, and analyze dependencies. It can be integrated with tools like Claude Desktop by configuring the claude_desktop_config.json file with the appropriate command and arguments to run the server.
Key features of Nuanced MCP Server
Initialize call graphs for Python repositories
Explore function call relationships
Analyze dependencies between functions
Provide contextually aware code assistance
Use cases of Nuanced MCP Server
Enhancing code completion suggestions in IDEs
Improving the accuracy of code documentation generation
Facilitating code refactoring and optimization
Assisting in debugging and identifying potential issues
FAQ from Nuanced MCP Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is a standardized protocol for providing context to LLMs.
What is the nuanced library?
What is the nuanced library?
The nuanced library is used by the server to provide call graph analysis capabilities.
How do I initialize a code graph?
How do I initialize a code graph?
Use the initialize_graph tool with the path to the repository.
How can I analyze the dependencies of a file?
How can I analyze the dependencies of a file?
Use the analyze_dependencies tool with the file path.
How do I integrate this server with Claude Desktop?
How do I integrate this server with Claude Desktop?
Add the server configuration to your claude_desktop_config.json file as shown in the README.