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MCP server · Agents

Multi Agent AI Trip Planner Using MCP

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.

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Scored a month ago · breakdown

About Multi Agent AI Trip Planner Using MCP

Multi Agent AI Trip Planner Using MCP is an MCP server published by Sahil1909-hub in the Agents category: 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.

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Install

From source
git clone https://github.com/Sahil1909-hub/Multi-Agent-AI-Trip-Planner-using-MCP

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Questions

About Multi Agent AI Trip Planner Using MCP

How do I install Multi Agent AI Trip Planner Using MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Multi Agent AI Trip Planner Using MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Multi Agent AI Trip Planner Using MCP still maintained?

Yes — the last commit was 3 months ago. The repository has 0 stars and 0 forks.