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Integrates Blender with Claude AI for AI-powered 3D modeling, scene creation, and manipulation.
Bundles and organizes project files for AI development workflows, offering a web UI and Model Context Protocol (MCP) server for seamless LLM consumption.
Streamlines the process of registering Anthropic's Model Context Protocol (MCP) in Claude Desktop and Cursor for enhanced AI capabilities.
Empowers AI agents by providing unified access to a rich ecosystem of tools, cognitive systems, and specialized services through the Model Context Protocol.
Integrates large language models with the AirNow API to provide comprehensive U.S. air quality data access.
Orchestrates an end-to-end Model Context Protocol tooling system, featuring a FastMCP server and STDIO-based client with JSON-RPC, enabling multi-step tool chaining powered by Vertex AI Gemini.
Empower AI assistants with deterministic mathematical calculations through a local Model Context Protocol server.
Empowers Large Language Models to execute rule-based simulations of molecular interaction systems using the Kappa language.
Facilitates AI agents and MCP-compatible clients with comprehensive access to the Aster Finance Futures API for real-time market data, trade management, and account queries.
Equips large language models with persistent memory and knowledge retrieval capabilities through semantic search over markdown vaults.
Empowers AI assistants to curate and manage Spotify playlists using 10 specialized tools for smart creation, top track analysis, and automated recommendations.
Enables sophisticated power system analysis through conversational natural language interaction with Claude AI and EPRI's OpenDSS simulator.
Transcribe ScreenPal videos using local AI models, generating comprehensive audio transcripts and visual descriptions without cloud dependencies.
Orchestrates a comprehensive customer relationship management platform with an intelligent integration server for advanced automations and AI capabilities.
Implements a Model Context Protocol (MCP) server, enabling AI assistants to securely interact with external tools and data sources.
Provides basic mathematical operations (addition and subtraction) via both a FastAPI REST API and an MCP server for AI tool integration.
Answers natural language questions by querying and summarizing Wikipedia content through an MCP-compatible interface.
Integrates web search capabilities into an MCP server using the Tavily API.
Provides AI assistants with natural language tools to query personal glucose data from a health-data-storage API.
Processes large PDF files with intelligent chunking, high-quality text extraction, and comprehensive search capabilities.
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