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Connects to the Tesla Fleet API, enabling AI assistants to control and interact with Tesla vehicles.
Enables LLMs to interact with MongoDB databases through natural language.
Provides advanced reasoning capabilities for Claude AI within Cursor AI.
Connects a Bitcoin Lightning wallet to large language models using Nostr Wallet Connect and the Model Context Protocol.
Generates AI agent tools from Postman collections and requests by converting API endpoints into type-safe code for various AI frameworks.
Analyzes website performance using Google's PageSpeed Insights API for detailed metrics and optimization suggestions.
Enables LLMs to securely execute code via a managed code interpreter.
Enables secure remote execution of Rails console commands over SSH for data wrangling and analysis.
Enables retrieval of user and video information from the Bilibili API using the Model Context Protocol.
Enables communication between Claude AI and Autodesk Revit for direct model interaction.
Enables AI assistants to send native macOS notifications with clickable tmux session focusing.
Bridges Claude Desktop with terminal applications, enabling seamless command execution with intelligent output retrieval.
Connects Signoz instances with AI assistants and other MCP-compatible clients to enable programmatic data access and analysis.
Optimizes Vitest testing for AI assistants by providing structured output, visual debugging context, and intelligent coverage analysis.
Optimizes browser automation for AI assistants by reducing web page content by up to 90% using an innovative semantic snapshot algorithm.
Provides a Model Context Protocol (MCP) server for building and cleaning Delphi, Free Pascal, and Lazarus projects.
Enables AI clients to interact with Graphisoft Archicad by running a server for its Tapir add-on.
Manages a personal movie watchlist, provides AI-powered recommendations, and integrates interactive widgets directly into ChatGPT.
Provides a personal knowledge graph and persistent memory system for AI assistants, utilizing SQLite for local storage and vector search for semantic understanding.
Empowers AI development with persistent memory, structured specifications, and adaptive change management for building software through a Spec-Driven Development approach.
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