# Trip-Planner-AI-with-MCP-LANGGraph-Render

> Trip-Planner-AI-with-MCP-LANGGraph-Render — paras160500-trip-planner-ai-with-mcp-langgraph-render. Use this tool when you need to plan a trip from scratch, as it generates a complete itinerary with flights, hotels, and budgets. It solves the problem of tedious travel planning by taking a simple request as input and producing a detailed trip plan with packing lists as output. Ideal for travelers seeking a hassle-free experience, it can be used to organize personal or business trips with ease.

Canonical page: https://skillsregistry.net/skills/paras160500-trip-planner-ai-with-mcp-langgraph-render  
JSON: https://api.skillsregistry.net/v1/skills/paras160500-trip-planner-ai-with-mcp-langgraph-render

## Description

MCP-powered ✈️ AI Travel Planner that turns a simple request into a complete trip plan with flights, hotels, itineraries, budgets & packing lists. 🤖 Built with LangGraph multi-agents, Groq, Tavily, AviationStack, FastAPI & PostgreSQL. 🌍🚀

## 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/paras160500/Trip-Planner-AI-with-MCP-LANGGraph-Render)

## 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": "paras160500-trip-planner-ai-with-mcp-langgraph-render"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paras160500-trip-planner-ai-with-mcp-langgraph-render` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paras160500-trip-planner-ai-with-mcp-langgraph-render/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