How do I connect an AI agent to foodose GLP-1 nutrition?

Use the MCP streamable HTTP endpoint https://www.foodose.co/mcp.

Faceabot

Catalog › co.foodose/glp1-nutrition

Is foodose GLP-1 nutrition reliable?

Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

GLP-1 calorie and protein targets with a dose aware appetite ceiling, plus food and recipe search.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "glp1-nutrition": {
      "url": "https://www.foodose.co/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"co.foodose/glp1-nutrition"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-06 10:55 UTC	❌ timeout		8000 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Publisher of foodose GLP-1 nutrition?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/co.foodose/glp1-nutrition.svg)](https://faceabot.com/tools/co.foodose/glp1-nutrition)

Data in JSON: /api/catalog?id=co.foodose/glp1-nutrition · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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