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.
Nessuna recensione ancora. Sii il primo a recensire!
Accedi per unirti alla conversazione
Highlight AISave project context with specified parameters including project ID, content, parent context ID, references, tags, and metadata.
Save conversation context with specified parameters including session ID, content, continuation of previous chat ID, and tags.
Retrieve context by ID and project ID.
List contexts based on project ID, tag, and type.
