Code Understanding MCP Server
by codingthefuturewithai
An MCP server designed to understand codebases and provide intelligent context to AI coding assistants. It handles both local and remote GitHub repositories and supports standard MCP-compliant operations.
Last updated: N/A
What is Code Understanding MCP Server?
The MCP Code Understanding Server empowers AI assistants with comprehensive code comprehension capabilities, enabling them to provide more accurate, contextual, and practical assistance with software development tasks. By creating a semantic bridge between repositories and AI systems, this server dramatically reduces the time and friction involved in code exploration, analysis, and implementation guidance.
How to use Code Understanding MCP Server?
To use this server, configure your MCP client with the provided JSON configuration snippet, ensuring you have uv installed. The server will then be automatically downloaded and run when needed by your MCP client. You can optionally configure a GitHub token for accessing private repositories or avoiding rate limits.
Key features of Code Understanding MCP Server
Clone and analyze GitHub repositories or local codebases
Get repository structure and file organization
Identify critical files based on complexity metrics and code structure
Generate detailed repository maps showing function signatures, class definitions, and code dependencies
Retrieve and analyze repository documentation
Target analysis to specific files or directories
Keep analysis up-to-date with repository changes via refresh
Use cases of Code Understanding MCP Server
Reference Repository Analysis
Knowledge Extraction and Documentation
Codebase Assessment and Improvement
Legacy System Understanding
Cross-Project Knowledge Transfer
FAQ from Code Understanding MCP Server
How does the server handle large codebases?
How does the server handle large codebases?
The server employs asynchronous processing, progressive analysis, scope control, threshold management, and hierarchical understanding to maintain performance and usability even with enterprise-scale repositories.
How do I access private repositories?
How do I access private repositories?
Add your GitHub Personal Access Token to the server configuration.
Where is the server configuration file located?
Where is the server configuration file located?
The server uses a config.yaml file for base configuration, which is automatically created in the standard configuration directory (~/.config/mcp-code-understanding/config.yaml) when the server first runs. You can also place a config.yaml file in your current directory to override the default configuration.
What Python versions are supported?
What Python versions are supported?
Python 3.11 or 3.12 are required for both development and usage.
What are the steps for publishing a new version to PyPI?
What are the steps for publishing a new version to PyPI?
Update the version number in pyproject.toml, clean previous build artifacts, build the distribution packages, verify the built packages, and upload to PyPI using twine.