How to Use the Crystal Matcher MCP in Pydantic AI

Q: How does Crystal Matcher work with Pydantic AI?

The MCP lets your agent query crystals by intent using querycrystalsbyintent. Since the output is validated, you get a guaranteed structure that works perfectly within your Python application logic.

Q: What data does Crystal Matcher expose to Pydantic AI?

It provides detailed crystal records via getcrystaldetails. This ensures that every piece of information—from element association to description text—is validated against your schema at runtime.

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Connect Crystal Matcher MCP to Pydantic AI

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Setup Crystal Matcher with Pydantic AI

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Find matches by spiritual intent

The `query_crystals_by_intent` tool finds crystals based on a user's emotional state or goal. This is the perfect entry point for your agent because it gives immediate, highly relevant suggestions. It ensures that even if the input query is vague, the resulting data structure you get back is predictable and ready to pass through Pydantic validation.

Pinpoint crystals by energy system

Use `find_crystals_by_chakra` when the user needs suggestions tied to a specific chakra. This tool forces the output into a clean, validated structure that your agent can rely on for critical decision-making. This level of type safety means you never have to worry about receiving corrupted or unexpected data fields from the underlying API.

Deeply validate crystal information

To fully verify a match, combine `filter_crystals_by_element` with `get_crystal_details`. This process provides multiple layers of validation, confirming both the element and pulling in every available data point. If any piece of data is missing or malformed, Pydantic catches it immediately. Your agent fails loudly, letting you fix the schema before the user even notices a problem.

Setup guide

Set up Crystal Matcher MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "crystal-matcher-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Crystal Matcher tools.",
)

result = await agent.run("List recent Crystal Matcher transactions")
print(result.output)

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Common questions about Crystal Matcher MCP in Pydantic AI

The MCP lets your agent query crystals by intent using `query_crystals_by_intent`. Since the output is validated, you get a guaranteed structure that works perfectly within your Python application logic.

Yes. You can combine element filtering and chakra searching for maximum control. The resulting data is always type-checked, so you know exactly what fields you're working with.

It provides detailed crystal records via `get_crystal_details`. This ensures that every piece of information—from element association to description text—is validated against your schema at runtime.

It does. The MCP includes a dedicated tool for finding crystals by chakra, which provides the necessary input data points that can be strictly typed and validated before your agent processes them.

The MCP manages crystal catalog metadata. Specifically, it touches and passes through structured data regarding elements and chakra associations, ensuring the integrity of the schema without compromising private user information.

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