
Amazon Rainforest Travel Guide
An AI-powered travel assistant connected to Claude via MCP that helps users plan Amazon Rainforest trips by providing directions, hotel recommendations, adventure spots, cultural sites, and travel precautions.
README
🌿 Amazon Rainforest Travel Guide (Claude Agent + MCP)
An AI-powered travel assistant connected to Claude via MCP, designed to help users explore the Amazon Rainforest — from planning routes to discovering nearby hotels and adventure spots.
🚀 Features
- 🌍 Get directions from any location to Manaus, Brazil
- 🏨 Discover nearby hotels using Geoapify
- 🥾 Find adventure spots like hikes and nature trails
- 🏛️ Explore food, monuments, and cultural sites
- ⚠️ Get essential travel precautions
- 🤖 Powered by Claude + FastMCP
🛠️ Tech Stack
- Claude (Anthropic Desktop Client)
- FastMCP for Claude tool registration
- Python + HTTPX + dotenv
- OpenTripMap, Geoapify, OpenRouteService APIs
📦 Installation
- Clone the repo:
git clone https://github.com/Ajey95/MCP.git cd MCP
- commands:
# On Windows. powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" uv init projectname Create a virtual environment (optional but recommended): python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate Add your API keys in a .env file: ORS_API_KEY=your_openrouteservice_api_key GEOAPIFY_API_KEY=your_geoapify_api_key OPENTRIPMAP_API_KEY=your_opentripmap_api_key
- mcp command:
install mcp install mcp[cli]
- Final:
pip install -r requirements.txt To run uv run mcp install file.py #Continue building!
🧠 Connecting Claude to Your MCP Server
Run your server: uv run mcp install file.py Open the Claude desktop app
Click on Add Tool
Paste your MCP endpoint (shown in terminal, e.g., http://localhost:3333/.well-known/ai-plugin.json)
Claude will scan and install tools like:
-
get_travel_route
-
get_nearby_hotels
-
get_adventure_spots
-
get_monuments_and_food
-
get_precautions
-
greet_user
🗣️ Sample Prompts to Try in Claude
-
"What's the distance and travel time from Rio de Janeiro to the Amazon Rainforest?"
-
"Find top hotels near Manaus."
-
"Suggest some adventure spots near Manaus."
-
"What cultural sites can I visit in the Amazon?"
-
"Give me precautions before visiting the rainforest."
🤝 Contributing
Pull requests welcome. For major changes, please open an issue first.
📄 License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.