MCP server

Linty Official

xyz.linty/linty

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Find food, beverage and pet brands that sell direct, and where to apply for a wholesale account.

Website Source

At a glance

Type

MCP server

Publisher

linty.xyz (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 1,511 tokens per request

Sets up in

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

Last checked

28 Oct 2026, 09:03 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 linty https://mcp.linty.xyz/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.linty]
url = "https://mcp.linty.xyz/mcp"

Gemini CLI

{"mcpServers":{"linty":{"httpUrl":"https://mcp.linty.xyz/mcp"}}}

Cursor

{"mcpServers":{"linty":{"url":"https://mcp.linty.xyz/mcp"}}}

VS Code

{"servers":{"linty":{"type":"http","url":"https://mcp.linty.xyz/mcp"}}}

Antigravity

agy mcp add linty https://mcp.linty.xyz/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":"linty","server_url":"https://mcp.linty.xyz/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"linty","server_url":"https://mcp.linty.xyz/mcp"}

Tools

• find_brands ~483 tokens
  Find food, beverage and pet brands, and see where to apply to each for a wholesale account. Filter by text, category path, country, availability or `submittable`. The text in `q` can match the name, other names or description of a brand. Search allows small spelling errors and returns at most the be
• get_brand ~155 tokens
  Get the facts of one brand by its slug: its company, its categories, each relationship with its availability, and the sources. The result is the JSON twin at `/brands/{slug}.json`.
• get_company ~137 tokens
  Get one company by its slug, with the brands that it owns. The result is the JSON twin at `/companies/{slug}.json`.
• get_relationship ~297 tokens
  Get a brand's relationship: where to apply, each fact with its source quote, and whether Linty read the brand's terms. The facts include the form fields and the documents that the brand asks for. A fact has its quote in `source` only when LintyBot read it on the brand's page. Read `terms` before you
• list_categories ~201 tokens
  List the categories under a path, or the top-level categories, with counts of published brands. A category has a page when it has 10 published brands. With a page, the result also has that category and up to 200 of its brands. Without a page, `category` is null and the result has the categories unde
• report_correction ~238 tokens
  Report a wrong fact about a brand or one of its relationships. Write what is wrong and what is right, in 10 to 2,000 characters. A person at Linty reads each correction.

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