This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP server to track meals for Shreyansh, Pankaj, and Aviral. Deploy on Render and connect to ChatGPT.
pip install -r requirements.txt
python seed_data.pyRelated MCP server: Calorie Tracker MCP Server
python server.pypython server.py --httpServer runs at http://localhost:8000/mcp
Push to GitHub
Connect repo on Render (it auto-detects render.yaml)
Render generates MCP_API_TOKEN automatically
Copy the service URL (e.g. https://meal-tracker-mcp.onrender.com/mcp)
Go to ChatGPT > Settings > Connectors (or Apps)
Add a custom connector:
URL: https://meal-tracker-mcp.onrender.com/mcp
Auth: Bearer token (use the MCP_API_TOKEN from Render dashboard)
Tool | Description |
| Add meals for a person (date, person, lunch/dinner, count) |
| Remove a meal entry |
| Fetch meals for a date or range |
| Totals for a specific day |
| Per-person summary with costs |
₹80 per meal. Totals auto-calculated.
This server cannot be deployed
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