MCP A2A AP2 Food Delivery & Payments (tas1337/mcp-a2a-ap2-im-hungry) is an MCP server listed on the M8ven Trust Index. It scores 52 out of 100, grade D. It declares 9 tools. No publisher has claimed this listing.

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D
Caution
52/100

MCP A2A AP2 Food Delivery & Payments

Enables AI agents to discover and order food from multiple delivery services (DoorDash, UberEats, Grubhub) using A2A protocol and process payments via Stripe with AP2 protocol mandates for cryptographically signed user authorization.

→ tas1337/mcp-a2a-ap2-im-hungry· 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

tas1337

Source: Glama

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Install from

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: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// tools this server exposes9 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.

process_payment

Process payment via Stripe. Requests user authorization, then sends mandate to Stripe.

check_payment_status

Check payment status. No mandate needed.

process_refund

Process refund via Stripe. Requests user authorization, then sends mandate to Stripe.

search_restaurants

Search restaurants. Location auto-filled. DO NOT ask user - just search based on what they want.

get_menu

Get menu. Use this to find items and prices, then place_order.

search_menu_items

Search dishes across all restaurants. Pick the best match for user.

check_delivery_estimate

Get delivery time and fee. Use to pick cheapest/fastest if user asks.

place_order

Place order and process payment. BEFORE calling this, you MUST show order summary (restaurant, items, total with delivery fee) and ask "Should I place this order?" Only call AFTER user says yes/approve.

check_order_status

Check status of an order

// known CVEs in dependencies2 high

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

high@modelcontextprotocol/sdk@1.25.1GHSA-345p-7cg4-v4c7

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

high@modelcontextprotocol/sdk@1.25.1GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

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.
configAGENT_NAME
configREGISTRY_HOST
configWALLET_HOST
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

9/9 tools missing one or more hints — process_payment (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); check_payment_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); process_refund (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +6 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.

Tests exist

No test files found

Add tests that exercise each declared tool.

Shell command execution

3 child_process/subprocess calls in production code — runs shell commands (deploy/start.js:16, deploy/start.js:24, deploy/start.js:25)

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Secrets not logged

1 secret value sent to console.log

Redact or omit secret values from log output.

Production dependencies are patched

0 critical, 2 high severity in production deps — @modelcontextprotocol/sdk@1.25.1 (high), @modelcontextprotocol/sdk@1.25.1 (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.
// embed badge in your README
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commit: 44fe4eaf7e7fd6c0134a31e31443e48b46aa45f8
code hash: 7d937d3939c4731146af9a871885f476501e9ebba27de7112a032913411a62a5
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