How to Use the AI Ethics Prover MCP in Windsurf

Q: What happens if Windsurf tries to pass a generic support email as a recourse mechanism?

The tool rejects it immediately. The validateaiethics tool requires a structured challenge plan with a clear response SLA and a designated human reviewer, forcing Windsurf to document a real appeal process rather than a lazy fallback.

Stop letting Cascade deploy hand-waving AI models. Force Windsurf to validate actual ethics metrics before writing code.

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Connect AI Ethics Prover MCP to Windsurf

Create your Vinkius account to connect AI Ethics Prover 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 AI Ethics Prover with Windsurf

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Prevent Cascade from deploying vague ethical claims

When Windsurf writes code autonomously, it defaults to quick fixes and generic comments. If you let Cascade build models without guardrails, you end up with lazy bias checks. This MCP Server stops that behavior cold. By calling the `validate_ai_ethics` tool, your agent has to prove its decisions with hard math. Instead of letting Cascade write "we check for fairness" in a readme, this tool forces the agent to document actual statistical parity. If the model fails to list specific demographic groups or lacks a real appeal SLA, the validation fails. Windsurf gets a hard error, stopping the deployment pipeline immediately.

Force Windsurf to quantify real-world algorithmic harm

Cascade can chain multiple files and APIs together, but it cannot judge human impact without a strict framework. The `validate_ai_ethics` tool requires Windsurf to assign a concrete severity score from one to five for every potential downside. No more hand-waving or writing off risks as minor issues. You get a clear breakdown of probability percentages and reversibility metrics directly in your Windsurf panel. If your autonomous agent tries to bypass this step with vague statements, the server rejects the payload. This forces Cascade to respect actual human stakes before any code goes live.

Audit protected attributes with this MCP Server

Letting Cascade build machine learning pipelines without auditing is a recipe for compliance disasters. This MCP Server forces your agent to test protected attributes using exact mathematical metrics like equalized odds or calibration. You see the measured disparity in plain text right inside your workspace. Every run requires a concrete mitigation plan rather than a generic promise to fix things later. By embedding `validate_ai_ethics` into your Windsurf agent's loop, you ensure that every auto-generated model undergoes a strict, numeric audit before you commit the files.

Setup guide

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

mcp_config.json

{
  "mcpServers": {
    "ai-ethics-prover-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about AI Ethics Prover MCP in Windsurf

It acts as an analytical gatekeeper inside your Cascade loop. When Windsurf calls `validate_ai_ethics`, the server rejects any vague claims about fairness. Your agent must provide hard numbers, like equalized odds and demographic parity, or the validation fails and stops the run.

Yes, because Windsurf is built for multi-step execution. When this tool returns validation errors about missing recourse plans, Cascade reads the failure state, updates the ethics configuration payload, and retries the validation until it passes.

No, you don't need boilerplate. Once you add this MCP Server to your Windsurf configuration, Cascade instantly finds the tool and can invoke it during any chat session or autonomous task.

The tool rejects it immediately. The `validate_ai_ethics` tool requires a structured challenge plan with a clear response SLA and a designated human reviewer, forcing Windsurf to document a real appeal process rather than a lazy fallback.

Your demographic metrics, protected attributes, and stakeholder profiles never leave your local environment. This server runs within a secure V8 isolate sandbox, meaning your sensitive compliance schemas are processed locally and wiped instantly after each validation check.

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