Frequently Asked Questions about Mcptest TypeScript API Library and UBOS Integration

Q: What is the Mcptest TypeScript API Library?

A: It’s a library that allows developers to easily connect to Mcptest REST APIs from server-side TypeScript or JavaScript. This makes it easier to integrate MCP (Model Context Protocol) servers with applications.

Q: What is MCP (Model Context Protocol)?

A: MCP standardizes how applications provide context to Large Language Models (LLMs), enabling them to access external data sources and tools for better performance.

Q: How do I install the Mcptest TypeScript API Library?

A: Use npm: npm install git+ssh://git@github.com:stainless-sdks/mcptest-typescript.git

Q: Do I need an API key to use the library?

A: Yes, you need an API key from your Mcptest provider. Set it as an environment variable: MCPTEST_API_KEY.

Q: What kind of errors can occur when using the library?

A: The library can throw various errors, including BadRequestError, AuthenticationError, RateLimitError, and InternalServerError. It’s important to handle these errors gracefully.

Q: Does the library automatically retry requests?

A: Yes, the library automatically retries certain errors like connection errors and rate limits, with exponential backoff.

Q: Can I configure request timeouts?

A: Yes, you can configure request timeouts to prevent your application from hanging indefinitely.

Q: Can I access the raw response data (headers, etc.)?

A: Yes, the library allows you to access the raw Response object returned by fetch().

Q: How do I configure logging?

A: You can configure logging using the logLevel option or by providing a custom logger.

Q: Can I use a different fetch client?

A: Yes, you can customize the fetch client used to make API requests.

Q: What is UBOS?

A: UBOS is a full-stack AI Agent Development Platform that helps businesses build, orchestrate, and deploy AI agents.

Q: How does UBOS integrate with the Mcptest TypeScript API Library?

A: UBOS can use the library to access contextual information from MCP servers, enhancing the capabilities of its AI agents.

Q: What are some use cases for integrating Mcptest and UBOS?

A: Enhanced customer support agents, intelligent sales assistants, automated content creation, and data-driven decision-making are just a few examples.

Q: Where can I find more information about contributing to the library?

A: See the contributing documentation in the library’s GitHub repository.

Q: What runtimes are supported by this library?

A: Web browsers, Node.js 18 LTS+, Deno v1.28.0+, Bun 1.0+, Cloudflare Workers, and Vercel Edge Runtime are supported.