Question 1

What is an MCP Server?

Accepted Answer

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to Large Language Models (LLMs).

Question 2

What is the UBOS MCP Server Starter?

Accepted Answer

The UBOS MCP Server Starter is a production-ready template for building MCP servers using TypeScript. It provides a clean, maintainable project structure and leverages tools like Bun and Biome for fast development.

Question 3

What are the key features of the MCP Server Starter?

Accepted Answer

Key features include a production-ready template, TypeScript support, Bun for fast testing, Biome for linting and formatting, and automated version management with standard-version.

Question 4

How do I create a new MCP tool?

Accepted Answer

You can use the `bun run scripts/create-tool.ts ` command. This will create a new tool directory under `src/tools/` with the necessary files.

Question 5

How do I run tests?

Accepted Answer

Use the command `bun test` to run the test suite.

Question 6

How do I add my MCP server to Claude Desktop?

Accepted Answer

Build the project with `bun run build` and then add a configuration entry to your Claude Desktop config file, specifying the command and arguments for your server.

Question 7

What is standard-version used for?

Accepted Answer

Standard-version is used for automated version management, including generating changelogs and bumping version numbers based on commit message conventions.

Question 8

What commit message format should I use?

Accepted Answer

Use the Conventional Commits format: `feat` for new features, `fix` for bug fixes, and `BREAKING CHANGE` for breaking changes.

Question 9

How do I publish my MCP server to npm?

Accepted Answer

First, build the project with `bun run build`. Then, log in to npm and use the `npm publish` command.

Question 10

What is UBOS?

Accepted Answer

UBOS is a Full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.

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