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Integrates Model Context Protocol (MCP) servers with SQLite databases, enabling natural language interactions via LlamaIndex and Ollama-powered clients.
Provides access to Vilnius public transport data for Large Language Models (LLMs) via the Model Context Protocol (MCP).
Analyzes food images to detect items, calculate calories and protein content, and answer nutrition-related questions using AI.
Provides a unified interface to query public French legal APIs, offering access to legislation, jurisprudence, and official documents for integration with large language models.
Performs mathematical calculations using natural language processing and OpenAI's GPT model.
Empowers developers with a comprehensive, AI-driven toolkit accessible directly in their browser via a Chrome extension and robust local server.
Connects conversational AI assistants like Claude and GPT directly to Power BI Desktop models for natural language interaction, exploration, and modification.
Syncs Google Drive folders with AI assistants, enabling powerful semantic search, duplicate detection, and cross-reference analysis across your documents.
Generates high-quality images from textual prompts by integrating the Hunyuan Image model through the Replicate platform.
Retrieves YouTube video transcripts, enabling AI models to easily access and utilize subtitle data.
Provides direct access to essential on-chain Bitcoin data, tracking Unspent Transaction Outputs (UTXO) and block statistics.
Provides an interface to CRIC Property AI functionalities for accessing industry insights, knowledge bases, and more.
Encapsulates the powerful jieba Chinese word segmentation library as a Model Context Protocol (MCP) server, offering robust text processing capabilities for various applications.
Simulates and animates complex quantum physics phenomena with high-quality visualizations.
Provides an AI-driven server for comprehensive data quality assessment and enrichment within MCP-compatible environments.
Provides a structured, standards-compliant API for serving machine learning metadata, service discovery, and ML content, enabling AI applications to efficiently discover model context and artifacts.
Provides translation, language detection, and supported language listing via Devnagri AI APIs, with a focus on Indic languages.
Provides a comprehensive Model Context Protocol (MCP) server application demo built with Windows Forms, integrating LLM API calls, a modern chat interface, and tool management.
Connects LLM applications to Milvus vector database functionality via the Model Context Protocol.
Facilitates context exchange between clients, servers, and AI models using Spring AI's Model Context Protocol (MCP).
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