How to Use the Crystal Matcher MCP in Mastra AI

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Connect Crystal Matcher MCP to Mastra AI

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

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Setup Crystal Matcher with Mastra AI

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Build fail-safe matching sequences

Don't let a failed search trip up your whole process. You can build conditional logic that tries one thing, and if it fails, automatically retries with a fallback plan using Mastra AI. For example, if the initial query based on `query_crystals_by_intent` times out, the workflow could gracefully switch to filtering by element instead.

Handle complex crystal matching pipelines

Your agent needs to execute multiple steps—like checking a chakra and then getting details. Mastra AI's built-in retries handle this automatically, ensuring your workflow completes even if the network hiccups. The process can look like: first using `find_crystals_by_chakra`, followed by fetching specifics with `get_crystal_details`.

Ensure data integrity across searches

You need to know your results are accurate. The MCP helps you validate the sequence of calls, whether it's starting broad using `query_crystals_by_intent` or narrowing down with `filter_crystals_by_element`. Mastra AI guarantees that all steps execute in order. This controlled execution means the user only sees verified, accurate advice.

Setup guide

Set up Crystal Matcher MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Crystal Matcher tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "crystal-matcher-mcp-client",
  servers: {
    "crystal-matcher-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Crystal Matcher Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Crystal Matcher tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Crystal Matcher transactions"
);
console.log(result.text);

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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.

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Common questions about Crystal Matcher MCP in Mastra AI

Mastra AI runs your MCP calls within a robust workflow engine. You set up multi-step processes—like checking intent then filtering by element—and the platform manages execution and retries automatically.

Yes, you can wrap crystal matching logic into a recurring workflow. If you need to periodically check popular pairings, Mastra AI handles the schedule and execution reliability.

This MCP exclusively touches structured catalog data for crystals. It manages elements, chakras, and intent descriptions, but it never accesses or modifies personal user information.

Mastra AI's core feature is reliability. It provides automatic retries with exponential backoff, meaning temporary failures don't stop your crystal recommendation flow.

It does. You can define a clear dependency graph: first call `find_crystals_by_chakra`, and only if that succeeds, proceed to calling tools like `get_crystal_details`.

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