ModelEyes: A structured UI representation protocol that enables AI models to "see" and interact with user interfaces without screenshots. Reduces context size by ~95% while providing semantically rich information about UI elements, their properties, and relationships. Supports web applications and Windows desktop integration.
MCP-Build AI Applications with Model Context Protocol Seamlessly integrate AI models with external tools and services.
The MistTrack MCP server allows Claude AI to directly access blockchain data provided by the MistTrack API, offering address analysis, risk assessment, transaction tracking, and fund flow visualization capabilities, with support for multi-layer recursive transaction analysis.
Model Context Protocol (MCP) server allowing LLMs to store and search knowledge in a SQLite database
With this MCP, you can debug your application by querying any issue to an LLM using the latest documentation available on the web. We currently support LangChain, LlamaIndex, and OpenAI docs, but you can add any other sources as needed.
Projects on how to build MCP servers , MCP clients and how to connect Reference servers using Our own mcp client
An AI-powered Scrabble companion project featuring two Flutter applications that enhance the traditional board game experience using cutting-edge Google AI technologies.
High-performance Swift-based MCP server for Xcode automation with hybrid architecture. Designed for Mac Studio M2 Max with real-time build intelligence, advanced multi-simulator management, and maximum security.
CS2Monitor, Monitor the jewelry market fluctuations of the game 《Counter-Strike:2》 and provide relevant trading strategies based on Django+Playwright
3D visualization of a document processing MCP(Model Contect Protocol) client-server workflow.



























































































