Generate personalized greetings by inputting a name. Built on the MCP Starter Server, this tool simplifies interaction with AI assistant tools using the ModelContextProtocol.
Locate TypeScript symbol definitions in your codebase by providing file path, symbol name, and line content to find original definition files and code.
Locate TypeScript symbol definitions in your codebase by providing the file path, symbol, and line content. Simplifies tracking down imported symbols like classes, interfaces, or variables.
Generate a custom MCP server using predefined TypeScript or Python templates. Modify code, add dependencies, and tailor functionality to meet specific requirements for server implementation.
Extract and combine code from GitHub repositories into a single file or directory structure. Use filters like file extensions, directories, or branches to streamline retrieval. Supports tree views and specific file fetching for precise code access.
A Node.js server that integrates with pytest to facilitate the ModelContextProtocol (MCP) service tools, enabling test execution recording and environment tracking.
Enables AI assistants to interact with Figma files through the ModelContextProtocol, allowing viewing, commenting, and analyzing Figma designs directly in chat interfaces.
A demonstration server for ModelContextProtocol that provides weather tools and prompts for Claude AI, allowing LLMs to access external data without manual copying.