Ajey95/MCP
Built by Metorial, the integration platform for agentic AI.
Ajey95/MCP
Server Summary
Get directions to Manaus, Brazil
Discover nearby hotels
Find adventure spots like hikes and nature trails
Explore cultural sites and food
Provide essential travel precautions
An AI-powered travel assistant connected to Claude via MCP, designed to help users explore the Amazon Rainforest ā from planning routes to discovering nearby hotels and adventure spots.
git clone https://github.com/Ajey95/MCP.git
cd MCP
# 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
install mcp
install mcp[cli]
pip install -r requirements.txt
To run uv run mcp install file.py
#Continue building!
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
š£ļø 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."
Pull requests welcome. For major changes, please open an issue first.
MIT