This TypeScript-based MCP server implementation, developed using the Model Context Protocol SDK, provides a foundation for building AI-driven applications. It leverages modern JavaScript features and TypeScript's type safety to create a robust and scalable server structure. The implementation is designed to be easily extensible, allowing developers to integrate various AI models or services. It's particularly well-suited for projects requiring a lightweight, customizable MCP endpoint, such as chatbots, content generation tools, or data analysis applications. The server's modular architecture and use of up-to-date dependencies make it adaptable to a wide range of AI-powered use cases, from simple text processing to more complex multi-modal interactions.
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Save project context with parameters: id (string), projectId (string), content (string), parentContextId (optional string), references (optional array of strings), tags (optional array of strings), metadata (optional object)
Save conversation context with parameters: id (string), sessionId (string), content (string), continuationOf (optional string), tags (optional array of strings)
Retrieve context with parameters: id (string), projectId (string)
List contexts with parameters: projectId (string), tag (optional string), type (string)
