USDA FoodData Central MCP Server (SpyrosBou/USDA-mcp) is an MCP server listed on the M8ven Trust Index. It scores 56 out of 100, grade D. It declares 10 tools. No publisher has claimed this listing.

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D
Caution
56/100

USDA FoodData Central MCP Server

Enables searching and retrieving nutrition data from the USDA FoodData Central API, with tools for food search, nutrient lookups, and bulk operations.

→ SpyrosBou/USDA-mcp· listed on glama

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

SpyrosBou

Source: Glama

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Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
⚠️
Known vulnerabilities in dependencies: 3 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
10 tools verified — handlers match their declared behaviour
10 read-only tools verified — handlers contain no write/delete/exec
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 1 credential: USDA_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes10 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

search-foods

Full-text search of USDA FoodData Central with structured filters, pagination cursors, preview mode, and dry-run estimation to conserve context.

get-food

Look up a single FoodData Central (FDC) record by numeric ID. Supports abridged/full detail toggles and nutrient ID subsets to trim responses. Ideal once you already know the identifier.

get_categories

Return category tags for a FoodData Central entry, including FoodCategory, brandedFoodCategory, and WweiaFoodCategory when available.

get_macros

Return per 100 g calories, protein, total fat, and carbohydrates for a FoodData Central entry.

get_micros

Return per 100 g vitamins and minerals for a FoodData Central entry (Calcium through B vitamins).

get_macro_micros

Return per 100 g macro plus vitamin/mineral panels for a FoodData Central entry.

list_portions

Return labeled portion sizes for a FoodData Central entry, including gram weights when available.

macros_for_portion

Return calories, protein, fat, and carbohydrates for a specific USDA-defined portion of a FoodData Central entry.

get-foods

Batch lookup for multiple FDC IDs via the USDA bulk endpoint. Provide up to 50 IDs to reduce repeated network calls. Supports abridged/full detail and nutrient filters per the API.

list-foods

Page-oriented listing endpoint for predictable iteration when you already know the data type or brand. Supports pagination, sorting, and brand filters, returning summaries for quick scanning.

// known CVEs in dependencies3 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.20.2GHSA-345p-7cg4-v4c7

@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse

high@modelcontextprotocol/sdk@1.20.2GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.20.2GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configUSDA_API_BASE_URLNo https://api.nal.usda.gov/fdc/v1/ Override when routing through a proxy or staging host.
🔐 secretUSDA_API_KEYUSDA FoodData Central API key — request one at https://fdc.nal.usda.gov/api-key-signup.html and provide it via .
// quality suggestions

All four hints declared on every tool

10/10 tools missing one or more hints — search-foods (missing: destructiveHint, idempotentHint); get-food (missing: destructiveHint); get_categories (missing: destructiveHint), +7 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool inputs are validated

8/10 tool handlers declare input schemas (80%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

9/10 tool handlers wrap calls in try/catch (90%)

Wrap each tool handler body in try/catch and return a structured error response.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tests exist

No test files found

Add tests that exercise each declared tool.

Production dependencies are patched

0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.20.2 (high), @modelcontextprotocol/sdk@1.20.2 (high)

Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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commit: eeb39b0212f64210c9086563e827721c24e99b0a
code hash: 13b239783c32be01b4ff2335c6c2596863aa38b98dbaf7f281d78f3a465be103
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