Grubhub (PyPI) MCP Server

grubhub-mcp PyPI v1.1.6

Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.

MCP server for Grubhub — search restaurants, browse menus, manage cart, place orders

Trust grade
A
98/100
Last scanned get badge →
Trust
A · 98/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Minimal
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 98/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 2 = 98. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−2 publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 0

✓ No findings. The scan raised nothing on this surface — see Coverage for how deep it could look.

Tools 36

Each tool and what it can reach — statically extracted from the published source.

  • add_addressno sensitive capability
  • add_favoriteno sensitive capability
  • add_to_cartno sensitive capability
  • apply_gift_cardno sensitive capability
  • apply_promo_codeno sensitive capability
  • autocomplete_searchno sensitive capability
  • change_passwordno sensitive capability
  • create_accountno sensitive capability
  • create_cartno sensitive capability
  • get_addressesno sensitive capability
Show 26 more tools ↓
  • get_cartno sensitive capability
  • get_favoritesno sensitive capability
  • get_gift_card_balanceno sensitive capability
  • get_menuno sensitive capability
  • get_menu_itemno sensitive capability
  • get_orderno sensitive capability
  • get_order_historyno sensitive capability
  • get_payment_methodsno sensitive capability
  • get_profileno sensitive capability
  • get_restaurantno sensitive capability
  • get_session_infono sensitive capability
  • loginno sensitive capability
  • logoutno sensitive capability
  • place_orderno sensitive capability
  • post_delivery_tipno sensitive capability
  • remove_favoriteno sensitive capability
  • remove_from_cartno sensitive capability
  • reorderno sensitive capability
  • search_restaurantsno sensitive capability
  • send_login_otpno sensitive capability
  • send_password_resetno sensitive capability
  • set_tipno sensitive capability
  • track_orderno sensitive capability
  • update_cart_itemno sensitive capability
  • update_profileno sensitive capability
  • verify_login_otpno sensitive capability

What this scan could not see

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v1.1.6 latest A 98/100 0 1.13.0 2026-08-25

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 98/100
Markdown (GitHub README)
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan grubhub-mcp --online --registry pypi

Use the free API → How scoring works

Other implementations of Grubhub 1

Independent packages implementing the same tool, scanned with the same engine. Compare all 2 side by side →

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