Frequently Asked Questions (FAQ) about Xava Labs Typescript MCP Template

Q: What is an MCP Server?

A: MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It provides context to LLMs by standardizing how applications share data, enabling more intelligent and effective AI solutions.

Q: What is the purpose of the Xava Labs Typescript MCP Template?

A: The template provides a ready-to-use foundation for building MCP servers. It simplifies the setup process and includes essential tools, allowing developers to focus on implementing their specific business logic.

Q: What are the key features of the MCP Template?

A: Key features include Typescript foundation, WebSocket & SSE support, Cloudflare Workers integration, MCP Inspector for debugging, and an integration testing suite.

Q: How does the MCP Template integrate with Cloudflare Workers?

A: The template is built on Cloudflare Workers, enabling edge computing capabilities for low latency and high scalability. You can easily deploy your MCP server globally.

Q: What is the MCP Inspector?

A: The MCP Inspector is a debugging tool included in the template. It allows you to monitor your MCP server during development and gain insights into its behavior.

Q: What is the difference between McpHonoServerDO and McpServerDO implementations?

A: McpHonoServerDO combines the MCP server with the Hono web framework for clean routing and middleware capabilities. McpServerDO provides more control over HTTP request handling by directly extending McpServerDO and overriding the fetch method.

Q: How can I add custom routes to my MCP server using McpHonoServerDO?

A: You can add custom routes by extending the setupRoutes method in your McpHonoServerDO implementation and defining your desired endpoints.

Q: How do I add new tools, resources, and prompts to my MCP server?

A: You can add new tools, resources, and prompts by modifying the src/tools.ts, src/resources.ts, and src/prompts.ts files, respectively. The template provides examples of how to define each of these components.

Q: What are the benefits of using the Xava Labs Typescript MCP Template with UBOS?

A: The integration streamlines AI agent development and deployment by providing a centralized platform for managing AI agents, simplifying data connectivity, enabling customization, and supporting Multi-Agent Systems.

Q: Where can I find more information and support?

A: Join the #mcp channel on the Xava Labs Discord server for feature requests, support, and discussions.

Q: How can I contribute to the template?

A: You can contribute by forking the repository, creating a branch for your changes, committing your changes, pushing to your fork, and creating a pull request.