How to Use the Crystal Matcher MCP in Cursor

Q: How do I use Crystal Matcher in Cursor for coding?

You create a .cursor/mcp.json file and add the server config there. When you enable Agent mode, your AI client will automatically know how to call the tools.

Write code that generates real crystal recommendations using Cursor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Crystal Matcher MCP to Cursor

Create your Vinkius account to connect Crystal Matcher to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Crystal Matcher with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build searches by spiritual intent

When writing a function that needs to recommend stones, start with `query_crystals_by_intent`. This tool lets your agent find crystals based on emotional input. You can feed the AI response directly into the code you're drafting.

Pinpoint gems using chakra and element filters

For targeted results, use `find_crystals_by_chakra` to match a specific body energy center. Then, refine that list by calling `filter_crystals_by_element`. This lets the AI generate highly precise code blocks showing only applicable matches. The entire process runs live: your agent calls this MCP and injects the resulting data right into your editor.

Get detailed specs for crystal use cases

Need to verify properties before a write? Call `get_crystal_details`. This pulls all the necessary information on any specific gem. Your code can then check these details against known parameters, making your output reliable.

Setup guide

Set up Crystal Matcher MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Crystal Matcher MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Crystal Matcher transactions." If the MCP tools are loaded correctly, Cursor will call the Crystal Matcher tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "crystal-matcher-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Crystal Matcher. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Crystal Matcher now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Crystal Matcher MCP in Cursor

You create a `.cursor/mcp.json` file and add the server config there. When you enable Agent mode, your AI client will automatically know how to call the tools.

Yes. You can chain tool calls—for instance, running an intent query and immediately piping those results into a chakra filter—all within the code generation process.

Because it passes data live, you can't just mock the result. Your agent calls the MCP, gets real data via Vinkius, and then writes working code using that actual response.

This server touches crystal catalog data, specifically element names. The connection uses a zero-trust proxy, so your keys are only used in transit and never stored on disk.

The MCP is designed to run as subprocesses. This architecture means that when your agent calls it, you get clean, predictable API responses perfect for embedding into your live code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript