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A TypeScript implementation of the Model Context Protocol server that enables searching arXiv papers and extracting paper information through standardized client-server communication.

Provides seamless integration with NASA's public APIs, enabling AI assistants to access space and astronomy data including APOD, Mars rover photos, Near-Earth Objects, space weather events, and Earth imagery.

A TypeScript wrapper library for the Model Context Protocol SDK that provides a simplified interface for creating MCP servers with tools, resources, and prompts without needing to work directly with the protocol.

A template repository for building Model Context Protocol (MCP) servers with TypeScript, featuring full TypeScript support, testing setup, CI/CD pipelines, and modular architecture for easy extension.

A starter template for building remote Model Context Protocol servers using TypeScript, providing modern tooling and best practices while leveraging the MCP TypeScript SDK.

An MCP server that enables AI assistants to book and manage Uber rides, including getting price estimates, requesting rides, checking ride status, and canceling rides.

Transforms basic interface ideas into comprehensive, professional-grade UI/UX design specifications with detailed styling, animations, components, and accessibility requirements for websites, apps, and other digital interfaces.

MCP Ultimate

Ultimate MCP server aimed at stateful agents and managing vast workspaces

An MCP server for self-hosted UniFi gateway management, providing tools for devices, networks, WiFi, firewall rules, switch port profiles, connected clients, and a one-shot IoT network creation with rollback.

Provides access to UniProt protein sequence and function knowledge base, enabling search and retrieval of protein entries, proteomes, taxonomy, and feature annotations.

An MCP server that enforces unit testing standards by linting code and guiding agentic coding tools (like Gemini CLI or Claude Code) to follow best practices in test-driven development.

Implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with Unity projects through a Node.js server bridge.

MCP Unity Bridge Asset

Asset to be imported into Unity to host a WebSocket server for MCP Conmmunciation with LLMs

Enables AI assistants to interact with Unity Editor through the Model Context Protocol, allowing natural language control of Unity projects including scene manipulation, GameObject creation, component updates, package management, and test execution.

Enables AI assistants to analyze Java and Web projects, automatically generate unit tests (JUnit) and end-to-end tests (Selenium), and execute them directly through Maven or NPM commands.

A persistent server using Unix sockets that provides file operations and real-time communication capabilities through both SSE and Socket.IO interfaces.

MCP Use

🚀 mcp-use is a TypeScript library that makes it easy to connect LangChain.js-compatible LLMs with MCP servers. Build powerful, flexible AI agents with dynamic tool access and multi-server support.

Triggers predefined functions based on specific usecases including data analysis, text processing, mathematical calculations, file operations, and web request simulations through natural language prompts.

Enriches user data by generating and providing social media profile links (Instagram, Facebook, Twitter, LinkedIn) based on user information like name and birth date.

A simple user management service that enables creating new users and retrieving user lists through the Model Context Protocol. Supports user creation with name, email, password, address, and phone parameters.