How to Use the Plecto MCP in Windsurf

Let Windsurf Cascade autonomously wire up your Plecto dashboards and push live KPI data without leaving your editor.

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Connect Plecto MCP to Windsurf

Create your Vinkius account to connect Plecto to Windsurf — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Plecto with Windsurf

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Map Plecto Dashboards via MCP Server

Cascade uses `list_kpi_dashboards` and `list_widgets` to read your entire Plecto layout before writing a single line of code. It scans your existing setup to understand exactly how your sales or engineering metrics are structured on the screen. You don't have to look up widget IDs manually. Windsurf grabs the layout, checks the underlying data sources with `list_data_sources`, and immediately knows where to route new incoming metrics.

Push Registrations Autonomously

Windsurf triggers `create_data_registration` to push new events directly into your Plecto account. If you just closed a PR or merged a feature, Cascade can instantly log that as a KPI hit for your engineering team. It handles the necessary lookups first. By running `list_account_employees` and `list_organizational_teams`, the agent finds the exact user ID to credit the metric to, ensuring your leaderboards update without manual entry.

Audit KPIs with Windsurf

Your agent pulls calculation logic straight from the API using `list_formulas` and `get_dashboard`. This means Cascade can debug why a specific metric looks wrong on the screen by comparing the local code logic against the actual Plecto formula. Fixing broken metrics takes seconds instead of hours. Windsurf cross-references the formula with recent entries from `list_data_registrations` to spot anomalies and proposes the fix right in your workspace.

Setup guide

Set up Plecto 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 Plecto 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 Plecto payment history." If connected, Cascade will call the Plecto tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "plecto-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 Plecto. 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

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Common questions about Plecto MCP in Windsurf

Open your MCP settings via the Cascade UI. Add the Plecto server details to your configuration file and hit refresh to load the tools.

No. The server only reads widget data. You build the widgets in Plecto, and Cascade pushes data to them.

It stops context switching. You can ask Cascade to check your team's KPI progress or log a new registration without opening a browser tab.

Yes. It runs specific listing tools to map out your exact roster before assigning any metrics to individual users.

Windsurf operates strictly within the V8 Isolate Sandbox provided by Vinkius. Your team's raw data registrations and individual employee IDs never leak into global training models, and the ephemeral token dies the moment your session ends.

Use it with your favorite AI tools

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