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TypeScript Definition Finder MCP Server

A Model Context Protocol (MCP) server that helps AI code editors find TypeScript symbol definitions in your codebase. This tool is particularly useful when you need to locate the original definition of imported symbols, classes, interfaces, or functions in a TypeScript project.

Created by runninghare2025/04/09
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What is TypeScript Definition Finder MCP Server?

what is TypeScript Definition Finder MCP? TypeScript Definition Finder MCP is a Model Context Protocol (MCP) server designed to assist AI code editors in locating TypeScript symbol definitions within a codebase. It is particularly useful for finding the original definitions of imported symbols, classes, interfaces, or functions in TypeScript projects. how to use TypeScript Definition Finder MCP? To use the server, install the necessary dependencies, build the project, and start the stdio server. You can then use the find_typescript_definition tool by providing the required parameters: file path, line content, and column number. key features of TypeScript Definition Finder MCP? Locates original definitions of TypeScript symbols Supports imported symbols from external packages Returns definition location and code snippet Integrates seamlessly with AI code editors via stdio interface use cases of TypeScript Definition Finder MCP? Finding definitions of imported symbols in TypeScript files. Locating local class definitions within a project. Assisting developers in understanding code by providing context for symbol usage. FAQ from TypeScript Definition Finder MCP? What prerequisites are needed to run the server? You need Bun v1.2.2 or later and Node.js to run the compiled server. How do I find a symbol definition? Use the /ts-def command with the required parameters to locate the definition of a symbol in your codebase. Can this tool work with external packages? Yes, it can find definitions for symbols imported from external packages.

As an MCP (Model Context Protocol) server, TypeScript Definition Finder MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use TypeScript Definition Finder MCP Server

To use the server, install the necessary dependencies, build the project, and start the stdio server. You can then use the find_typescript_definition tool by providing the required parameters: file path, line content, and column number. key features of TypeScript Definition Finder MCP? Locates original definitions of TypeScript symbols Supports imported symbols from external packages Returns definition location and code snippet Integrates seamlessly with AI code editors via stdio interface use cases of TypeScript Definition Finder MCP? Finding definitions of imported symbols in TypeScript files. Locating local class definitions within a project. Assisting developers in understanding code by providing context for symbol usage. FAQ from TypeScript Definition Finder MCP? What prerequisites are needed to run the server? You need Bun v1.2.2 or later and Node.js to run the compiled server. How do I find a symbol definition? Use the /ts-def command with the required parameters to locate the definition of a symbol in your codebase. Can this tool work with external packages? Yes, it can find definitions for symbols imported from external packages.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

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MCP servers like TypeScript Definition Finder MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like TypeScript Definition Finder MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.