MCP server

Spoon Scout - Food Contaminant Lookup

ai.agentlookups/spoon-scout

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Lab results, FDA recalls and additive rules for US packaged foods, with sources; never a grade.

Website

At a glance

Type

MCP server

Publisher

agentlookups.ai (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 1,926 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http spoon-scout https://food.agentlookups.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.spoon-scout]
url = "https://food.agentlookups.ai/mcp"

Gemini CLI

{"mcpServers":{"spoon-scout":{"httpUrl":"https://food.agentlookups.ai/mcp"}}}

Cursor

{"mcpServers":{"spoon-scout":{"url":"https://food.agentlookups.ai/mcp"}}}

VS Code

{"servers":{"spoon-scout":{"type":"http","url":"https://food.agentlookups.ai/mcp"}}}

Antigravity

agy mcp add spoon-scout https://food.agentlookups.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"spoon-scout","server_url":"https://food.agentlookups.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"spoon-scout","server_url":"https://food.agentlookups.ai/mcp"}

Tools

• additive_status ~134 tokens
  Returns where an additive is allowed, restricted, banned or requires a warning (US FDA, EU, and US states such as California, West Virginia, Texas and Louisiana), each with its law and effective date, plus how many products list it and examples.
• check_product ~299 tokens
  Looks up one US packaged food by barcode (UPC/EAN/GTIN), id, or name, and returns what is known about it: lab results by chemical (with kind of evidence, sample counts, median and highest values in ppb, lots, dates and sources), FDA recalls naming its barcode, restricted additives in its ingredients
• chemical_sources ~191 tokens
  For one contaminant (lead, cadmium, mercury, arsenic-total, arsenic-inorganic, perchlorate, a phthalate such as dehp or dbp, a substitute such as deht, or a bisphenol such as bpa), returns the everyday foods where FDA's Total Diet Study found the highest typical levels (with samples, detections, ave
• compare_products ~124 tokens
  Lines up two to five products (by id) chemical by chemical, using each product's own lab results where they exist and FDA's typical level for its kind of food otherwise (marked as typical), plus restricted additives and recall counts.
• food_category ~298 tokens
  For a kind of food (a category slug such as milk, rice, baby-infant-foods-beverages, cereal, water), returns FDA's typical levels of metals and perchlorate, whether FDA's foods are a close or rough stand-in, and the products in that category with lab results: the 50 lowest in the most-tested chemica
• interpret_test_result ~880 tokens
  Places a person's urine or blood test result among CDC NHANES population percentiles (newest survey cycle loaded), for everyone or one age group, and says in words how high it is. tier.level is below_median, median_to_95th, top_5_percent or far_above (at least twice the 95th percentile; CDC's tables

Browse

• Forms and surveys
• Legal research
• Health and medicine

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• Codex Gsfa
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  Is this food healthy? A 0-100 score from nutrition, additives and processing (Open Food Facts).

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