MCP server
BuyWise Official
fyi.buywise/buywise
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Know what you're buying: brand, white-label, price, fake-discount, review and seller checks
Working at last checkVerified publisher: buywise.fyiAbout 1,741 tokens per request once connected3 tools
https://api.buywise.fyi/mcp
At a glance
- Type
- MCP server
- Publisher
- buywise.fyi (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 3
- Token cost
- About 1,741 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
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 buywise https://api.buywise.fyi/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.buywise] url = "https://api.buywise.fyi/mcp"
Gemini CLI
{"mcpServers":{"buywise":{"httpUrl":"https://api.buywise.fyi/mcp"}}}
Cursor
{"mcpServers":{"buywise":{"url":"https://api.buywise.fyi/mcp"}}}
VS Code
{"servers":{"buywise":{"type":"http","url":"https://api.buywise.fyi/mcp"}}}
Antigravity
agy mcp add buywise https://api.buywise.fyi/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":"buywise","server_url":"https://api.buywise.fyi/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"buywise","server_url":"https://api.buywise.fyi/mcp"}
Tools
check_brandsBrowses the web · ~261 tokens
Use this when the user asks whether a brand is reputable or what kind of brand it is (an established name, a store's own label, an independent maker, or a generic white-label name), or wants brands compared while shopping. Returns findings on each brand: what kind of brand it is, its reputation forcheck_product~718 tokens
Use this when the user is looking at a specific product listing on an online store and wants to know whether it looks trustworthy or like a good buy. Pass what you already read from the listing as arguments: title (required) and, when shown, brand, price, listPrice (the seller's "was" price), currencheck_productsBrowses the web · ~762 tokens
Use this when the user is comparing several product listings, such as search results or the same item at different stores, and wants trust signals on each. Pass up to 20 products, each with what you already read from its listing: title (required) and, when shown, brand, price, listPrice, currency, u
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