io.github.domdomegg/openfoodfacts-mcp

MCPcommunity
v2.5.1io.github.domdomeggUnknownUpdated 3mo agonpmGitHub

Search and contribute to the Open Food Facts database.

MCP server for the Open Food Facts API - search, read, and contribute to the world's largest open food database. Look up a product by name: "How many calories in a Sainsbury's buffalo chicken wrap?" -> searches by name, finds the product, and returns nutrition data. Look up a product by barcode: "What's in this product with barcode 3017620422003?" -> fetches Nutella's ingredients, Nutri-Score,…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.github.domdomegg
LicenseUnknown
Version2.5.1
Sourcemcp-registry
npmopenfoodfacts-mcp
GitHubdomdomegg/openfoodfacts-mcp.git
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
Dependencies60 resolved · 1 with advisories
Tool surface10 tools · 1 privileged
Security scan⚠ Warnings (0)v2.5.1 · 20d ago
DEP@modelcontextprotocol/sdk@1.24.3GHSA-345p-7cg4-v4c7, GHSA-8r9q-7v3j-jr4g
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

MCP server for the Open Food Facts API - search, read, and contribute to the world's largest open food database. Look up a product by name: "How many calories in a Sainsbury's buffalo chicken wrap?" -> searches by name, finds the product, and returns nutrition data. Look up a product by barcode: "What's in this product with barcode 3017620422003?" -> fetches Nutella's ingredients, Nutri-Score, and nutrition data. Find healthy options: "Search for breakfast cereals with Nutri-Score A" ->…

Keywords
mcp