A side-by-side look at the Calories Club: AI Food Tracker and Sessy — Amazon SES observability MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Calories Club: AI Food Tracker for monitoring work; choose Sessy — Amazon SES observability for monitoring over a hosted endpoint. You can also run both side by side in one mcpServers block.
SECRET_KEY_BASE.Rows where the two servers differ are marked.
| Spec | C Calories Club: AI Food Tracker | |
|---|---|---|
| Category | Monitoring | Monitoring |
| Quality signal | 37/100 · Fair | 48/100 · Fair |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Remote HTTP/SSE |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | SECRET_KEY_BASE |
| Verified owner | Community listing | Community listing |
| GitHub stars | — | 936 |
| Directory activity | 1 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Calories Club: AI Food Tracker | View Sessy — Amazon SES observability |
No tool names declared yet. Check the project README from the listing page.
No tool names declared yet. Check the project README from the listing page.
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
No confirmed install command for Calories Club: AI Food Tracker yet — follow the setup steps linked from its listing page rather than a guessed package name.
{
"mcpServers": {
"sessy-amazon-ses-observability": {
"url": "https://your-sessy-host/mcp"
}
}
}