B+

api.agenticshelf.ai

Item: api.agenticshelf.ai
Rating: 88
Author: wmcp.sh

https://api.agenticshelf.ai/mcp

88/100 · MCP Trust Grade · checked 4h ago · MCP 2025-06-18

✓ Watched since 2026-06-03 — behavioral baseline locked. We re-check this server's tool surface on a schedule; if it adds, removes, or silently rewrites a tool (rug-pull), we record it.

What it offers — 5 tools · Finance & Crypto

check_stock

Check real-time inventory, price, and shipping for a product SKU. This tool queries the connected e-commerce platform (Shopify, WooCommerce, etc.) for

get_product_details

Get full product details optimized for AI agents (structured JSON). Args: sku: Product SKU - e.g., "WIDGET-001" Returns: Dictionary with catalog field

get_price

Get current price for a product SKU. Args: sku: Product SKU - e.g., "WIDGET-001" Returns: Dictionary with sku and current price Example: >>> await get

list_products

List products from the connected store, paginated. Use this tool when an agent needs to DISCOVER products by browsing the catalog rather than VERIFYIN

search_products

Search products in the connected store by keyword. Use this when a shopper's query suggests specific terms the agent can match against product titles

Spec conformance20%80

✓ initialize → protocolVersion 2025-06-18
✓ initialize HTTP 200
✗ unknown method → -32602
✓ tools/list → 5 tools
✓ every tool has name + inputSchema

Security (OWASP MCP)30%100

5 tools scanned
no injection markup
no secret-path refs

Reliability / performance20%84

single-probe latency 753ms (PRELIMINARY — continuous uptime/p95 from proxy telemetry lands in v2)

Tool hygiene15%100

100% of tools have typed inputSchema
5/5 declare outputSchema
no unannotated destructive tools

Transparency / provenance15%70

HTTPS ✓
advertises protocol 2025-06-18

Observed behavior

No proxied traffic observed for this host yet. Connect it at /connect and its grade gains a measured Reliability score + per-tool behavioral evidence — the half a static scan can't produce.

Findings

No blocking issues found in the static + spec checks.

Grade another server

We re-grade api.agenticshelf.ai on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.

Share this report card

A 1200×630 card with the grade + audit — drop it in a post, Slack, or your repo.

MCP Trust report card — api.agenticshelf.ai grade B+

Share on X Open card image

https://wmcp.sh/mcp/grade/api.agenticshelf.ai

Embed this grade

A live badge — it re-verifies itself and shows current stability. Static scorecards can't. Paste it in your README or site to show users you're independently audited.

Markdown (for your README)

[![MCP Trust Grade B+](https://wmcp.sh/mcp/grade/api.agenticshelf.ai/badge.svg)](https://wmcp.sh/mcp/grade/api.agenticshelf.ai)

HTML

<a href="https://wmcp.sh/mcp/grade/api.agenticshelf.ai"><img src="https://wmcp.sh/mcp/grade/api.agenticshelf.ai/badge.svg" alt="MCP Trust Grade B+ · wmcp.sh"></a>

Agents: check this before connecting

Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:

https://wmcp.sh/mcp/trust

How this grade is computed. An open, independent rubric — Spec conformance (20%), Security mapped to the OWASP MCP Top 10 (30%), Reliability (20%), Tool hygiene (15%), Transparency (15%) — run by connecting to the server and inspecting its real MCP surface. The grade is free and identical whether or not the operator pays. v1 uses static + spec signals from a single connection; continuous uptime, real latency, and annotation-truthing (declared readOnly vs observed behavior) layer on via the wmcp.sh proxy.