weather-mcp-a2a — tool profile and history
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.
- Language
- Python
- License
- MIT
- Created
- Last activity
- Topics
- 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
Current measurement
1GitHub starsstable
measured growthMomentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.
Reading history
| Date | Value | Metric |
|---|---|---|
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars | |
| 1 | GitHub stars |
Classifications
- Domains
- Type
- MCP servers
- Use cases
- No declared use case