Market

Search and get fashion products recommendations across multiple e-ecom stores

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "market": {
      "command": "npx",
      "args": [
        "-y",
        "market"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Vistoya MCP

Semantic search and recommendations across fashion stores, exposed as a Model Context Protocol server. Connect any MCP-compatible AI agent (Claude, Cursor, VS Code, ChatGPT, etc.) and let it discover products, find visually similar items, and explore stores in the Vistoya marketplace.

Registry name: io.github.vistoya/market
Endpoint: https://api.vistoya.com/mcp
Transport: Streamable HTTP
Website: https://vistoya.com

Quick setup

Terminal

npx @vistoya/mcp

Automatically detects and configures Claude Desktop, Claude Code, Cursor, Windsurf, and VS Code. Restart your AI client after running.

What it does

Vistoya indexes fashion products from many stores and embeds them with a vision-language model. The MCP server lets agents query that index in natural language and reason over the results.

Tools

Tool	Description
`discover_products`	Semantic search across all indexed stores. Accepts a natural-language query plus optional filters (category, color, gender, price, etc.) and returns ranked products.
`find_similar_products`	Given a product ID, return visually and semantically similar products.
`discover_brands`	Semantic search over brand profiles. Find brands by style, origin, or aesthetic (e.g. "Italian streetwear brands", "minimalist Scandinavian labels").
`find_similar_brands`	Given a brand name or key, return similar brands using brand-profile vectors.
`get_product`	Fetch full details for a single product by ID.
`get_filters`	List available filter values (categories, colors, materials, brands, …) so the agent knows what's filterable.

Manual install

Claude Desktop / Claude Code

Add to claude_desktop_config.json (or your Claude Code MCP config):

config.json

{
  "mcpServers": {
    "vistoya": {
      "url": "https://api.vistoya.com/mcp"
    }
  }
}

Cursor

Add to ~/.cursor/mcp.json:

config.json

{
  "mcpServers": {
    "vistoya": {
      "url": "https://api.vistoya.com/mcp"
    }
  }
}

VS Code (MCP extension)

Add to your mcp.json:

config.json

{
  "servers": {
    "vistoya": {
      "type": "http",
      "url": "https://api.vistoya.com/mcp"
    }
  }
}

Generic stdio fallback (clients that don't support remote yet)

Use mcp-remote as a bridge:

config.json

{
  "mcpServers": {
    "vistoya": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://api.vistoya.com/mcp"]
    }
  }
}

Example prompts

Once connected, try:

"Find me a black leather jacket under $300"
"Show me something similar to this product"
"What cozy sweaters do you have for fall?"
"Find me running shorts under $100"

Discoverability

This server is published on the official MCP Registry. You can find it at:

Code

https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.vistoya/market

Status

Public preview. The endpoint is publicly reachable and does not currently require authentication.

License

MIT — see LICENSE.

Contact

Issues and feature requests: open an issue on this repo.

Read the full README →View source on GitHub →

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Frequently Asked Questions about Market

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "market": { "command": "npx", "args": ["-y", "market"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

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Documentation Overview

Vistoya MCP

Registry name: io.github.vistoya/market
Endpoint: https://api.vistoya.com/mcp
Transport: Streamable HTTP
Website: https://vistoya.com

Quick setup

Terminal

npx @vistoya/mcp

Automatically detects and configures Claude Desktop, Claude Code, Cursor, Windsurf, and VS Code. Restart your AI client after running.

What it does

Vistoya indexes fashion products from many stores and embeds them with a vision-language model. The MCP server lets agents query that index in natural language and reason over the results.

Tools

Tool	Description
`discover_products`	Semantic search across all indexed stores. Accepts a natural-language query plus optional filters (category, color, gender, price, etc.) and returns ranked products.
`find_similar_products`	Given a product ID, return visually and semantically similar products.
`discover_brands`	Semantic search over brand profiles. Find brands by style, origin, or aesthetic (e.g. "Italian streetwear brands", "minimalist Scandinavian labels").
`find_similar_brands`	Given a brand name or key, return similar brands using brand-profile vectors.
`get_product`	Fetch full details for a single product by ID.
`get_filters`	List available filter values (categories, colors, materials, brands, …) so the agent knows what's filterable.

Manual install

Claude Desktop / Claude Code

Add to claude_desktop_config.json (or your Claude Code MCP config):

config.json

{
  "mcpServers": {
    "vistoya": {
      "url": "https://api.vistoya.com/mcp"
    }
  }
}

Cursor

Add to ~/.cursor/mcp.json:

config.json

{
  "mcpServers": {
    "vistoya": {
      "url": "https://api.vistoya.com/mcp"
    }
  }
}

VS Code (MCP extension)

Add to your mcp.json:

config.json

{
  "servers": {
    "vistoya": {
      "type": "http",
      "url": "https://api.vistoya.com/mcp"
    }
  }
}

Generic stdio fallback (clients that don't support remote yet)

Use mcp-remote as a bridge:

config.json

{
  "mcpServers": {
    "vistoya": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://api.vistoya.com/mcp"]
    }
  }
}

Example prompts

Once connected, try:

"Find me a black leather jacket under $300"
"Show me something similar to this product"
"What cozy sweaters do you have for fall?"
"Find me running shorts under $100"

Discoverability

This server is published on the official MCP Registry. You can find it at:

Code

https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.vistoya/market

Status

Public preview. The endpoint is publicly reachable and does not currently require authentication.

License

MIT — see LICENSE.

Contact

Issues and feature requests: open an issue on this repo.