MCP server

stierproducts tier lists Official

com.stierproducts/tier-lists

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

S-to-F tier lists for 208 product categories. Every placement cited, with barcodes.

Website Source

At a glance

Type

MCP server

Publisher

stierproducts.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 992 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http tier-lists https://mcp.stierproducts.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.tier-lists]
url = "https://mcp.stierproducts.com/mcp"

Gemini CLI

{"mcpServers":{"tier-lists":{"httpUrl":"https://mcp.stierproducts.com/mcp"}}}

Cursor

{"mcpServers":{"tier-lists":{"url":"https://mcp.stierproducts.com/mcp"}}}

VS Code

{"servers":{"tier-lists":{"type":"http","url":"https://mcp.stierproducts.com/mcp"}}}

Antigravity

agy mcp add tier-lists https://mcp.stierproducts.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"tier-lists","server_url":"https://mcp.stierproducts.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"tier-lists","server_url":"https://mcp.stierproducts.com/mcp"}

Tools

• compare_products ~128 tokens
  Compare two to five products side by side. They must share a category: LP is points on one category ladder and comparing across boards is meaningless, so a mixed request is refused rather than answered misleadingly.
• get_product ~291 tokens
  Everything held on one product: its placement, verdict, pros and cons, GTIN barcodes, the announcement date where the maker published one, and a breakdown of how the cited sources read (how many were glowing, positive, neutral or negative, and whether they were outlets, named authors, video channels
• get_tier_list ~185 tokens
  The full S-to-F tier list for one category: every ranked product with its tier, rank, LP, verdict, pros, cons, citation counts, GTIN barcodes and, where the maker published one, the announcement date. This is the primary tool and one call answers a "what is the best X" question completely. Call get_
• list_categories ~139 tokens
  List the product categories that have a published tier list, newest research first. Call this first when you do not already know the exact category slug: slugs cannot be guessed reliably and every other tool takes one.
• search_products ~123 tokens
  Find ranked products by name or brand across every board. Returns the slug, category and tier for each match, which is what get_product and get_tier_list need next.
• what_to_avoid ~126 tokens
  The products the research placed in the bottom tiers, and the ones it deliberately entered as traps buyers cross-shop but should not buy. Use it to answer "what should I not buy" and to check whether a product a user is considering was flagged.

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