Die Werkzeugbeschreibungen sind auf Englisch.
weather-mcp-a2a — Werkzeugprofil und Verlauf
MCP-based agentic AI system enabling LLMs to fetch and reason over real-time global weather data using standardized tool invocation. Built with MCP Server/Client, Llama 3, and external APIs to deliver low-latency, hallucination-free weather intelligence through protocol-driven workflows.
- Sprache
- Python
- Lizenz
- MIT
- Erstellt
- Letzte Aktivität
- Themen
- a2a
- a2a-protocol
- agentic-ai
- agents
- aiops
- docker
- groq-api
- groq-integration
- lanchain
- llm-ops
- mcp
- mcp-client
- mcp-server
- mcp-servers
- nws-api
- open-meteo-api
- orchestrator
- python
- weather-api
- webrtc
Aktuelle Messung
1GitHub-Sternestabil
gemessenes WachstumMomentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.
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Klassifikationen
- Bereiche
- Typ
- MCP-Server
- Anwendungsfälle
- Kein Anwendungsfall angegeben