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Provides a standardized interface for Large Language Models to access health data from the Senechal API.
Enables Large Language Models to interact with the Procore construction management platform.
Provides a template project for building MCP servers using Spring Boot.
Generates styled React components using natural language commands via the Popmelt Model Context Protocol (MCP).
Host Model Context Protocol (MCP) tools on Cloudflare Workers with OAuth authentication.
Integrates with Atlassian Confluence to enable custom functionality and API interactions.
Generates multi-language greetings and provides server capabilities through an HTTP-based Model Context Protocol server.
Provides a scalable, auto-discovering server foundation for offering external functionalities to Large Language Models.
Exposes a customizable set of personal tools through the Model Context Protocol for client or agent interaction.
Provides access to movie data and trending film information through The Movie Database (TMDB) API.
Delivers comprehensive real-time and historical weather data, forecasts, and alerts powered by the Open-Meteo API.
Deploys a Model Context Protocol (MCP) server to Cloudflare Workers or Azure Functions, enabling AI assistants to interact with your deployed services.
Demonstrates a minimal Model Context Protocol server using tools, resources, and prompts.
Facilitates advanced quantum systems analysis and simulation, covering quantum computing, chemistry, many-body physics, and quantum field theory calculations.
Enables AI assistants to interact with Metabase, providing access to resources, data execution, and management capabilities.
Generates multilingual greetings and AI-powered images using the Model Context Protocol.
Demonstrates Gilhari's INLINE mapping for efficient object-relational mapping, storing child JSON object attributes directly within the parent's database table to optimize one-to-one relationship queries.
Analyze multi-sector greenhouse gas emissions data with geographic granularity using natural language queries powered by EDGAR v2024 datasets and LLMs.
Enables users to upload PDF documents and query their content using natural language through a Retrieval-Augmented Generation (RAG) system.
Provides a comprehensive Model Context Protocol (MCP) API for programmatic interaction with Discord servers, enabling management of channels, roles, messages, and moderation.
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