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Provides weather querying capabilities to agents within a Model Context Protocol (MCP) server environment.
Provides a RESTful API and Model Context Protocol (MCP) server for services used by subtype.space.
Retrieves weather alerts and forecasts using the National Weather Service API.
Extends AI assistants with a wide range of capabilities through Model Context Protocol (MCP) servers.
Empowers AI assistants to adapt their responses and behavior intelligently based on the user's schedule and routines.
Provides a Node.js server for accessing and analyzing graph data from the Pythagraph RED API.
Calculates detailed subnet information and provides network planning advice.
Simplifies the creation of intelligent AI agents using large language models and multi-capability platforms through natural language and tool integration.
Provides a sandbox environment for testing the `fastmcp` Python library.
Delivers current weather information for specified locations via a Model Context Protocol server.
Creates a minimal ChatGPT application with an interactive greeting widget, confetti animations, and theme customization.
Access real-time, historical, and forecasted weather data from the decentralized WeatherXM network globally.
Provides a secure MCP server for sending emails through the 126.com SMTP service.
Integrates with the GitHub API to access repository information, documentation, and file content via the Model Context Protocol.
Provides pay-per-request utility APIs for AI agents, enabling instant payments via USDC micropayments on Base without API keys or subscriptions.
Enables AI agents to search and count economic units in Mexico using INEGI's DENUE API.
Provides AI assistants with structured access to Italy's national Design System resources, including components, tokens, guidelines, and accessibility status.
Integrates the Watermelon.ai customer support platform with AI assistants by exposing all 13 public API endpoints as MCP tools.
Enables AI agents to programmatically manage calendar events and access calendar information on macOS.
Equips AI agents with real-time, deterministic associative memory using Modern Hopfield Networks, eliminating the need for LLM calls or databases.
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