# Multi-Agent-AI-Trip-Planner-using-MCP

> Multi-Agent-AI-Trip-Planner-using-MCP — sahil1909-hub-multi-agent-ai-trip-planner-using-mcp. Use this tool when you need to plan complex trips with real-time information and AI-driven insights. It solves problems of inefficient travel planning by integrating flight, weather, and travel research data through a collaborative multi-agent architecture. The tool takes in travel preferences and location inputs, and outputs personalized trip plans with up-to-date flight information and weather forecasts.

Canonical page: https://skillsregistry.net/skills/sahil1909-hub-multi-agent-ai-trip-planner-using-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sahil1909-hub-multi-agent-ai-trip-planner-using-mcp

## Description

Developed a Dockerized **Multi-Agent AI Travel Planner** using **Python, FastAPI, and the Model Context Protocol (MCP)**. Integrated **AviationStack**, **OpenWeather**, and **Tavily APIs** to provide real-time flight information, weather forecasts, and AI-powered travel research through a collaborative multi-agent architecture.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Sahil1909-hub/Multi-Agent-AI-Trip-Planner-using-MCP)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sahil1909-hub-multi-agent-ai-trip-planner-using-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sahil1909-hub-multi-agent-ai-trip-planner-using-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sahil1909-hub-multi-agent-ai-trip-planner-using-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt