A server implementation for logging thoughts and reasoning during AI interactions, built on the Model Context Protocol (MCP) SDK. This lightweight TypeScript server provides a structured way to capture and document the thinking process of AI assistants, making it particularly useful for debugging, auditing decision paths, and improving transparency in AI systems. The implementation includes CI/CD workflows for automated building, testing, and deployment, with security scanning via OSV Scanner to ensure dependency safety. It's packaged as both an npm module and a Docker container for flexible deployment options.
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