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Silhouette Score Engine MCP Server for WindsurfGive Windsurf instant access to 1 tools to Calculate Silhouette Score

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Windsurf brings agentic AI coding to a purpose-built IDE. Connect Silhouette Score Engine through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Ask AI about this MCP Server for Windsurf

The Silhouette Score Engine MCP Server for Windsurf is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.

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Classic Setup·json
{
  "mcpServers": {
    "silhouette-score-engine": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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About Silhouette Score Engine MCP Server

Determining whether a clustering algorithm like K-Means actually grouped data effectively is impossible for a text-based LLM. The Silhouette Score is a complex computational metric that measures the distance between data points within the same cluster versus points in neighboring clusters. This engine executes the heavy geometric Euclidean distance calculations in native V8 JavaScript, giving agents the ability to autonomously determine the optimal number of clusters (k).

Windsurf's Cascade agent chains multiple Silhouette Score Engine tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 1 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

The Silhouette Score Engine MCP Server exposes 1 tools through the Vinkius. Connect it to Windsurf in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Silhouette Score Engine tools available for Windsurf

When Windsurf connects to Silhouette Score Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning clustering, machine-learning, data-evaluation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

calculate

Calculate silhouette score on Silhouette Score Engine

Provide 2D array data and cluster labels. Calculates the Silhouette score for clustering evaluation

Connect Silhouette Score Engine to Windsurf via MCP

Follow these steps to wire Silhouette Score Engine into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
02

Add the server

Paste the JSON configuration above into mcp_config.json
03

Save and reload

Windsurf will detect the new server automatically
04

Start using Silhouette Score Engine

Open Cascade and ask: "Using Silhouette Score Engine, help me...". 1 tools available

Why Use Windsurf with the Silhouette Score Engine MCP Server

Windsurf provides unique advantages when paired with Silhouette Score Engine through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 1 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Silhouette Score Engine + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Silhouette Score Engine MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Silhouette Score Engine and generate models, types, or handlers based on real API responses

02

Live debugging: query Silhouette Score Engine tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Silhouette Score Engine and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Silhouette Score Engine data with Cascade's code generation to scaffold entire features in minutes

Example Prompts for Silhouette Score Engine in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Silhouette Score Engine immediately.

01

"Here are my 2D coordinates and the cluster labels generated by my K-Means script. Calculate the Silhouette Score to see if the clusters are distinct."

02

"I have clustered the same dataset with K=2, K=3, and K=4. Calculate the Silhouette score for all three assignments and tell me which K is the absolute best."

03

"Compute the silhouette score for these customer embeddings. If the score is below 0.3, explain why the clusters might be overlapping."

Troubleshooting Silhouette Score Engine MCP Server with Windsurf

Common issues when connecting Silhouette Score Engine to Windsurf through Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Silhouette Score Engine + Windsurf FAQ

Common questions about integrating Silhouette Score Engine MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

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