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by Presh-AR • Uncategorized
An MCP server enabling AI models to interact with Codescan's API via a standardized interface.
List and explore Codescan projects programmatically.
Retrieve detailed project metrics from Codescan.
Query and filter project issues with specific criteria.
This MCP server implementation allows AI models to list Codescan projects, retrieve project metrics, and query project issues with advanced filtering. It supports environment-based configuration and Docker deployment, making it easy to integrate and deploy. Implemented in TypeScript, it provides a standardized way for AI agents to access Codescan data efficiently.