Plate Pal
REMOTE · GOODTURN-MCP.PAGES.DEV · SCANNED SEP 28
Calories and nutrition for any food, chain meal or barcode, and meal ideas for a goal and diet.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security74
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability62
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 986 tokens (~328/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.
How do I install the Plate Pal MCP server?
Plate Pal is a hosted endpoint at https://goodturn-mcp.pages.dev/platepal/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · goodturn-mcp.pages.dev
claude mcp add --transport http goodturnstudio-platepal 'https://goodturn-mcp.pages.dev/platepal/mcp'
{
"mcpServers": {
"goodturnstudio-platepal": {
"url": "https://goodturn-mcp.pages.dev/platepal/mcp"
}
}
} {
"servers": {
"goodturnstudio-platepal": {
"type": "http",
"url": "https://goodturn-mcp.pages.dev/platepal/mcp"
}
}
} [mcp_servers.goodturnstudio-platepal] url = "https://goodturn-mcp.pages.dev/platepal/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"goodturnstudio-platepal": {
"type": "remote",
"url": "https://goodturn-mcp.pages.dev/platepal/mcp",
"enabled": true
}
}
} openclaw mcp add goodturnstudio-platepal --url 'https://goodturn-mcp.pages.dev/platepal/mcp' --transport streamable-http
mcp_servers:
goodturnstudio-platepal:
url: "https://goodturn-mcp.pages.dev/platepal/mcp" {
"McpServers": {
"goodturnstudio-platepal": {
"Transport": "http",
"Url": "https://goodturn-mcp.pages.dev/platepal/mcp"
}
}
} assistant mcp add goodturnstudio-platepal -t streamable-http -u 'https://goodturn-mcp.pages.dev/platepal/mcp'
{
"mcpServers": {
"goodturnstudio-platepal": {
"type": "http",
"url": "https://goodturn-mcp.pages.dev/platepal/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 28 Sept 26 69
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 28 Sept 2026 · Probed https://goodturn-mcp.pages.dev/platepal/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=goodturn-mcp.pages.dev | CN=YE1,O=Let's Encrypt,C=US | 27 Sept 2026 | 26 Dec 2026 | ECDSA 256 | ECDSA-SHA384 | 590c8ade87714dff31f31ce636eafc7da48 |
| SANs: *.goodturn-mcp.pages.dev, goodturn-mcp.pages.dev | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of goodturn-mcp.pages.dev. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| dev. | present | 60074 | 8 | Verified |
| pages.dev. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://goodturn-mcp.pages.dev/platepal/mcp | Verified | 200 | |
| http (plaintext) | http://goodturn-mcp.pages.dev/platepal/mcp | HTTPS enforced | 301 | https://goodturn-mcp.pages.dev/platepal/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_barcode_nutrition Nutrition for a packaged product by barcode, with UK traffic lights ~141
Nutrition for a packaged product by barcode, with UK traffic lights. Use for "is this barcode high in sugar?", "how many calories in this?" after a scan, or "what's the salt in 5000157024886?". Returns per 100 g (or 100 ml) and per serving values, traffic lights for fat, saturates, sugars and salt, Nutri-Score, allergens and a Halal or Not? link for checking the ingredients
| Name | Type | Req | Description |
|---|---|---|---|
| code | string | yes | Barcode digits (8 to 14). |
| servings | number | – | Number of servings to total up (0.25 to 20). |
No output schema declared.
No examples provided.
get_food_nutrition Calories and macros for a food, dish or product, for the amount the user says ~445
Calories and macros for a food, dish or product, for the amount the user says. Use for "how many calories in a Big Mac?", "protein in 200g chicken breast", "calories in chicken biryani", "a slice of pepperoni pizza", "a large latte" or a whole meal like "2 eggs, 2 slices of toast and a coffee". Put the whole amount and food in q, or pass grams or servings separately. Generic foods and dishes (thousands, including fast food and restaurant dishes) use USDA values with real portion weights (slice, cup, small, medium, large, one item); brands come from Open Food Facts. Chain items ("McDonald's large fries", "a Greggs sausage roll", "KFC Zinger burger", "grande latte from Starbucks", "6 inch Italian BMT from Subway", "20 piece McNuggets") use the chain's own published figures for that size, UK or US by country, and return a chain object (name, region, item, size, weight_published); when the chain doesn't publish a weight, amount.grams is null and per_100 values are null. For a chain item not in the table, a typical USDA version is used and the say line says so. A whole meal returns items (each food with its amount and nutrition) and total. Returns nutrition for the amount, per_100 values, portions, UK traffic lights (per 100 g, or per 100 ml for drinks) and caffeine_mg for drinks that have it.
| Name | Type | Req | Description |
|---|---|---|---|
| country | string | – | Two-letter country code. Picks UK or US chain figures (GB and IE get UK ones) and prefers local versions of branded products. Default from the request. |
| grams | number | – | Amount in grams (1 to 5000). Overrides any amount in q. |
| q | string | yes | The food or meal, optionally with amounts, for example 200g chicken breast, a large banana, or 2 eggs and a slice of toast. |
| servings | number | – | Number of servings or items (0.25 to 20). |
No output schema declared.
No examples provided.
get_meal_ideas Simple meal ideas by goal, diet and meal, with rough macros ~259
Simple meal ideas by goal, diet and meal, with rough macros. Use for "give me a high protein halal dinner idea", "a quick vegan lunch", "cheap vegetarian breakfast ideas". Goals: high protein, low carb, budget, quick, high fibre. Diets: vegetarian, vegan, pescatarian, halal. Meals: breakfast, lunch, dinner, snack. You can pass the user's words in q instead. Ideas rotate daily. It does not set calorie or weight targets; a weight-loss request gets lighter, filling ideas (goal lighter, 450 calories or less) and a pointer to a doctor or dietitian, with no shop links.
| Name | Type | Req | Description |
|---|---|---|---|
| country | string | – | Two-letter country code for the shop links (US, GB and IE get local Amazon links). Default from the request. |
| diet | string | – | vegetarian, vegan, pescatarian or halal. |
| goal | string | – | high protein, low carb, budget, quick or high fibre. |
| meal | string | – | breakfast, lunch, dinner or snack. |
| n | integer | – | How many ideas, 1 to 8. Default 3. |
| q | string | – | Free text, for example high protein halal dinner. |
No output schema declared.
No examples provided.
What is the Plate Pal MCP server?
Plate Pal is an MCP server listed in the public MCP registry as io.github.GoodTurnStudio/platepal. Calories and nutrition for any food, chain meal or barcode, and meal ideas for a goal and diet. This page covers its hosted endpoint (https://goodturn-mcp.pages.dev/platepal/mcp).
Is the Plate Pal MCP server safe to use?
Plate Pal scores 69 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Plate Pal MCP server expose?
Plate Pal exposes 3 tools: get_food_nutrition, get_barcode_nutrition, get_meal_ideas. Their descriptions and schemas cost roughly 845 tokens of context every time the server is loaded.
Does the Plate Pal MCP server require authentication?
No. We connected to Plate Pal without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Plate Pal MCP server still maintained?
Plate Pal is still listed as active in the MCP registry. We last reached this channel on 28 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.