How to Use the Crystal Matcher MCP in Windsurf

Q: If I'm building an automated crystal recommendation tool for Windsurf, what tools are available?

The MCP Server gives you four tools. You can use querycrystalsbyintent to start the process, then findcrystalsbychakra and filtercrystalsbyelement to progressively narrow down results.

Build crystal recommendation flows autonomously with Windsurf.

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Connect Crystal Matcher MCP to Windsurf

Create your Vinkius account to connect Crystal Matcher to Windsurf 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 Windsurf

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Perplexity

Crystal Matcher for Windsurf

This MCP lets your agent run complex, multi-step recommendations without you having to prompt every step. You just define the goal, and Cascade figures out the whole sequence. It can start by finding crystals based on a spiritual or emotional intent using `query_crystals_by_intent`. Then, it narrows down those results by checking for specific alignments via `find_crystals_by_chakra`, and finally refines the list further using `filter_crystals_by_element` to give you a precise answer.

Debugging Crystal Flows

Need to confirm what details are available for a specific crystal? Just call `get_crystal_details`. This tool pulls all the deep data points, so your agent doesn't have to guess what information is missing. This MCP Server makes it easy to test complex flows. You can chain together multiple steps—like checking intent, then filtering by element—all in one go. It’s built for agents that need to execute a full plan automatically.

MCP Server Context Reading

Windsurf reads context like nobody's business. If you set the goal 'find crystals for focus,' it knows immediately to use `query_crystals_by_intent` first, before looking at chakra or element. It plans the whole thing out. It’s about letting the agent do the heavy lifting. You tell it what outcome you want; the MCP Server handles the precise sequence of tool calls needed to get there.

Setup guide

Set up Crystal Matcher MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Crystal Matcher MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Crystal Matcher payment history." If connected, Cascade will call the Crystal Matcher tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

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Common questions about Crystal Matcher MCP in Windsurf

It lets your agent automate complex matching. You set a high-level goal, and the MCP Server automatically chains together calls like querying by intent, then refining that list using chakra alignment.

Yep. Your agent can run through several steps: first finding crystals based on a specific element, and then getting detailed information about each one found to build a full report.

The MCP Server gives you four tools. You can use `query_crystals_by_intent` to start the process, then `find_crystals_by_chakra` and `filter_crystals_by_element` to progressively narrow down results.

This MCP touches crystal attributes like elemental association, chakra alignment, spiritual intent, and detailed descriptive text. The core data type is the crystal record itself.

Absolutely. Its design means that your agent can execute complex multi-tool sequences without needing manual input for every step, which is exactly what you need for an autonomous workflow.

Use it with your favorite AI tools

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