Weather
This is a basic weather information server from the GrappleAI project, which is primarily focused on AI-driven consumer dispute resolution in India. The weather component appears to be a supporting service rather than the main feature. The parent project implements MCP tools for evidence verification, refund negotiation, and dispute notice generation against sellers, backed by AWS Lambda, DynamoDB, and S3. The weather server itself exposes stdio transport but the source doesn't detail specific weather operations or API integrations. You'd reach for this if you're building the GrappleAI platform and need weather context, though standalone weather functionality isn't documented here.
- tools
- 4
- transport
- STDIO
- last updated
- Mar 1, 2026
Tools
4 toolsPublic tool metadata for what this MCP can expose to an agent.
secureEvidenceClutch evidence securely with confidence scoring
Clutch evidence securely with confidence scoring
No parameter schema in public metadata yet.
negotiateRefundInitiate autonomous negotiation
Initiate autonomous negotiation
No parameter schema in public metadata yet.
generateDisputeNoticeGenerate formal dispute notice
Generate formal dispute notice
No parameter schema in public metadata yet.
verifyConsumerRightsVerify Consumer Protection Act rights
Verify Consumer Protection Act rights
No parameter schema in public metadata yet.
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GrappleAI - Active Defense Layer for Consumers
An AI-driven dispute resolution platform built with React frontend and AWS CDK Lambda backend. GrappleAI advocates for consumers in post-purchase disputes using autonomous agents and the Model Context Protocol (MCP).
🚀 Quick Start
Get up and running in 5 minutes:
# Frontend
cd app && npm install && npm run dev
# Backend (separate terminal)
cd backend && npm install && npm run cdk:deploy
See QUICKSTART.md for detailed instructions.
📚 Documentation
Getting Started
- Quick Start Guide - Get running in 5 minutes
- Complete Setup Guide - Detailed setup instructions
- Project Overview - Architecture and features
Methodology & Vision
- AI-DLC Methodology - AI-Driven Development Life Cycle
- Traditional SDLC - SDLC vs AIDLC comparison
- GrappleAI Concept - Problem statement and vision
- AI-DLC Details - Active Defense Layer for Consumers
Details
- Repository
- github.com/kambleaa007/grappleai
- Package
@kambleaa007/mcp-weather-server- Transport
- STDIO
- Registry
- MCP registry, active