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Enables web search capabilities within an MCP environment using the Tavily API.
Analyzes data and generates reports using intelligent agentic AI.
Provides a real-time weather conversation experience leveraging AI and external APIs through the Model Context Protocol.
Provides core server-side functionalities to support Topcoder's AI and platform initiatives.
Provides comprehensive tools for evaluating and benchmarking post hoc explanation methods in AI models through a standard interface.
Manages person records through an AI agent interpreting natural language commands.
Deploys a Model Context Protocol (MCP) server on Cloudflare Workers with built-in OAuth authentication.
Performs web searches using DuckDuckGo and generates AI-powered summaries with Google's Gemini AI.
Facilitates agents in capturing website screenshots through a dedicated server.
Provides a standardized Model Context Protocol (MCP) interface for accessing CoinMarketCap's cryptocurrency market data, exchange information, and blockchain metrics.
Provides a production-ready server for integrating OpenAI models and custom tools with the Model Context Protocol.
Provides a lightweight and extendable Model Context Protocol (MCP) server toolkit for building custom tools that integrate with AI assistants.
Accesses OECD's comprehensive statistical data through its SDMX API, enabling AI assistants and chatbots to query various economic, health, education, and environmental datasets.
Answers HR policy questions from your own documents, retrieving relevant sections from a vector database to generate grounded responses with citations using OpenAI or Gemini.
Provides long-term memory capabilities to AI agents through a multi-layered MCP server.
Provides explainable, trustworthy, and data-driven investment insights through an AI-powered multi-agent debate architecture.
Enforces read-only access for Large Language Models querying PostgreSQL databases by strictly parsing SQL queries to prevent data mutation.
Serves as a stateless API bridge connecting Claude Chat with the SparkyFitness backend for food item management.
Facilitates the development of robust and high-performance MCP servers using FastMCP and Python.
Manages and provides access to AI skills through the Model Context Protocol (MCP) for seamless integration into AI conversation platforms.
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