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MyFitnessPal
Log meals and track macros inside ChatGPT — verified for 2026.
Quick answer
What it does
Parses natural-language meal descriptions ("two scrambled eggs, a slice of sourdough toast with butter, and a banana") into MyFitnessPal entries with portions, calories, and macros. Syncs to your account so the data shows up everywhere MyFitnessPal does.
Best for
- Quick natural-language logging
- Macro target planning
- Recovering missed meals
- Eating-out estimates
Not for
- Medical-grade tracking
- Allergy-certified label review
Setup recipe
MyFitnessPal is a ChatGPT-native app — connect once from the directory, then try the prompt below.
- 1
Connect
Open MyFitnessPal from the official ChatGPT Apps directory. First-run OAuth links it to your account — there is no command-line install, no JSON config, no environment variables.
Open MyFitnessPal in ChatGPT - 2
Try a minimum working prompt
Log a free-form meal description in one turn
MyFitnessPal, log my breakfast: two scrambled eggs, a slice of sourdough toast with butter, half an avocado, and a black coffee. Use my usual portion sizes and confirm before saving.Tested with: ChatGPT.
Tools & permissions
Tools list pending verification. The server exposes tools over MCP; we haven’t yet parsed its capability manifest into this page. Check the GitHub repo for the authoritative list.
Agent prompt pack
— copy into Claude, Cursor, or ChatGPT.Paste into Claude, Cursor, or ChatGPT. Edit the [brackets] before sending.
Recommend the best MCP servers for [task: e.g. productivity work] in [client: ChatGPT]. Constraints: - Prefer tools that are [official | open-source | read-only] — pick what matters for my use case. - Exclude MCPs that require [e.g. a paid plan, OAuth-only flows, remote-only transport]. - Return at most 3 picks, ranked. For each pick include: 1. One-sentence rationale. 2. The ready-to-paste install snippet for my client. 3. Any required secrets I need to create before installing. Cross-check the top-mcps.com listing: https://top-mcps.com/top-mcps-for-productivity
Compare MyFitnessPal against a real alternative. Swap the second MCP in [brackets] if you want a different match.
Compare MyFitnessPal MCP vs [Booking.com MCP] for the following job: [describe the job, e.g. "let an agent create GitHub issues on bug triage"]. Judge them on: - Setup time and complexity (what a new user hits first). - Auth model (none / API key / OAuth 2.1) and credential risk. - Transport (stdio / Streamable HTTP / SSE) and where the server runs. - Required secrets and the blast radius if they leak. - Operational risk in an unattended agent loop. - Which one is "good enough" for a weekend prototype vs. production. End with one sentence: which should I pick for my scenario, which is: [my scenario]. References: - https://top-mcps.com/mcp/myfitnesspal - top-mcps.com listing for Booking.com
Asks the agent to install and verify. Works inside Claude Code, Cursor Agent, Codex CLI.
Install the MyFitnessPal MCP server for my [client: ChatGPT] at the default config path for that client. Use the exact install snippet published at https://top-mcps.com/mcp/myfitnesspal (fetch https://top-mcps.com/mcp/myfitnesspal.json for the canonical server.json if you can read URLs). Before finishing: 1. Create the required secrets (no secrets) and put them in the appropriate env block — do not hard-code them. 2. Restart or reload the client so it picks up the new server. 3. Verify the server is connected (green / running state) and at least one tool is listed. 4. If anything fails, read the client's MCP logs and report the exact error — do not silently retry. Confirm when done and list the tools the server now exposes.
Frequently asked questions
What changed
— 2 updates tracked.Refreshed install snippets and fact sheet; verified for 2026.
Initial directory listing.
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