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Integrates AI assistants with Google Tasks through the Model Context Protocol.
Integrates modern APIs, AI, and automation to revolutionize server functionality.
Provides a chatbot interface that uses GPT-4o to route user input to various tools like GPT chat, image generation, Supabase queries, and text-to-speech.
Retrieves historical climate and meteorological data from the AEMET API for use with MCP-compatible clients.
Query Solana transactions using natural language via the Solscan API.
Scans files for viruses using the ClamAV engine through a simple MCP server.
Acts as an intermediary between Model Context Protocol (MCP) clients and servers, enabling new workflow features.
Provides current weather conditions, forecasts, and alerts using an MCP server.
Retrieves RSS feeds and formats entries as text using an MCP server.
Enables chat interactions leveraging Retrieval-Augmented Generation (RAG), a database, and server capabilities.
Enables integration with the Azure DevOps REST API through an MCP server.
Provides a cookiecutter template to quickly bootstrap a Python-based server.
Enables interaction with the TON Blockchain, facilitating operations like sending transactions and checking balances.
Demonstrates the implementation of Model Context Protocol (MCP) using Langchain MCP Adapters and Ollama.
Enables AI assistants to interact with and query MariaDB databases via the Model Context Protocol (MCP).
Bridges multiple webhook endpoints into a single, unified configuration for managing and querying knowledge bases.
Facilitates interaction with the MantraChain blockchain using the Model Context Protocol (MCP).
Facilitates RapidAPI server deployment and debugging within the Claude environment.
Manages inspirational phrases and integrates with Claude for Desktop and other Model Context Protocol (MCP) clients.
Facilitates context exchange between clients, servers, and AI models using Spring AI's Model Context Protocol (MCP).
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