How to Use the Crystal Matcher MCP in Google ADK

Q: What data does Crystal Matcher expose to the Google ADK?

It provides crystal details via getcrystaldetails. Your agent gets rich metadata—like physical properties and historical usage notes—that can be analyzed alongside your company's proprietary operational data in BigQuery.

Connect Crystal Matcher to your enterprise wellness workflow using the Google ADK.

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Connect Crystal Matcher MCP to Google ADK

Create your Vinkius account to connect Crystal Matcher to Google ADK 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 Google ADK

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Perplexity

Match crystals by user goal

Start with `query_crystals_by_intent` when a user describes their needs. Your agent can take that high-level request—say, 'reduce anxiety'—and map it to the best crystal candidates. This is perfect for large enterprise systems where agents need to handle unstructured natural language inputs and provide structured outputs.

Isolate suggestions by energy point

If you need precise targeting, use `find_crystals_by_chakra`. This tool lets your agent pull only the crystals associated with a specific chakra. It keeps the search hyper-focused for high-stakes applications. It's designed to work within Google Cloud environments where data integrity and specialized filtering are critical requirements.

Deep dive into crystal properties

Combine `filter_crystals_by_element` with the tool that retrieves deep specs, `get_crystal_details`. This combination lets your agent build a complete profile for any match it finds. The result is not just a name; it's an entire data record ready to be fed into BigQuery or used by downstream Vertex AI models.

Setup guide

Set up Crystal Matcher MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Crystal Matcher tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Crystal Matcher_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Crystal Matcher tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Crystal Matcher MCP in Google ADK

The MCP lets your agent query crystals based on intent using the `query_crystals_by_intent` tool. It provides a clear, structured result that integrates easily into your existing Google Cloud data pipelines.

Yes. You can narrow down results using elemental filtering and chakra-specific tools. This means you're not just getting a general list, but one that meets multiple technical criteria.

It provides crystal details via `get_crystal_details`. Your agent gets rich metadata—like physical properties and historical usage notes—that can be analyzed alongside your company's proprietary operational data in BigQuery.

It does. The MCP contains a specialized tool to find crystals associated with chakras, giving you the precise control needed for complex, multi-stage enterprise workflows.

The MCP handles and processes crystal catalog metadata. Specifically, it manages data relating to elements and chakra associations, keeping all client interactions within your secure Google Cloud perimeter.

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