Frequently Asked Questions

What is an MCP Server?

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).

How does the TypeScript Definition Finder MCP Server work?

It helps AI code editors find the exact definitions of TypeScript symbols in your codebase. It returns the file path, line number, and code snippet of the definition.

What are the prerequisites for using the server?

You need Bun v1.2.2 or later and Node.js for running the compiled server.

How do I install the TypeScript Definition Finder MCP Server?

You can install it via Smithery or manually following the instructions in the documentation.

What input parameters does the find_typescript_definition tool require?

It requires file_path, line_content, and column_number.

What is the response format of the tool?

The tool returns a JSON response containing the file path, line number, and code snippet of the definition.

How does this server integrate with UBOS?

UBOS allows you to orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents, and develop Multi-Agent Systems that leverage the MCP server.

What are the benefits of using UBOS with the MCP Server?

UBOS simplifies AI Agent development, increases efficiency, improves scalability, and enhances security.