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Silhouette Score Engine

Silhouette Score Engine MCP Server with 1 Tools for Claude, Cursor, and AI Agents

MCP Inspector GDPR Free for Subscribers

Evaluate the quality and cohesion of clustering algorithms (like K-Means) with mathematically perfect Silhouette scores computed local. Vinkius routes your AI agents directly to Silhouette Score Engine through a governed connection. 1 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.

Built for AI Agents by Vinkius

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
AI AgentVinkius
High Security·Kill Switch·Plug and Play
Silhouette Score Engine
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the Native V8 MCP Server?

The Native V8 MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Native V8 via 1 tools. Evaluate the quality and cohesion of clustering algorithms (like K-Means) with mathematically perfect Silhouette scores computed local. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.

Built-in capabilities (1)

calculate_silhouette_score

Tools for your AI Agents to operate Native V8

Ask your AI agent "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." and get the answer without opening a single dashboard. With 1 tools connected to real Native V8 data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.

Build your own MCP Server with our secure development framework →

The Silhouette Score Engine App Connector works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Use all 1 Silhouette Score Engine tools with your AI agents right now

Vinkius routes your AI agents to Silhouette Score Engine through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.

Explore Tools Hub
calculate

Calculate silhouette score on Silhouette Score Engine

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

What the Silhouette Score Engine MCP Server unlocks

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).

Frequently asked questions about the Silhouette Score Engine MCP Server

What does a good Silhouette score look like?

Scores range from -1 to 1. A score close to 1 means clusters are well separated and dense. A score near 0 means overlapping clusters, and negative means points were assigned to the wrong cluster.

Does it support high-dimensional data?

Yes. It computes N-dimensional Euclidean distance, so it can handle 2D points, 3D coordinates, or multi-feature data vectors.

Why not use Python?

Vinkius edge runtime avoids the cold-start and infrastructure overhead of Python servers, executing instantly in the local Agent environment.

Vinkius AI Gateway

We built the connector to Silhouette Score Engine. Now put your agents to work. Fully governed.

Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.

How it works
Infrastructure

Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.

Visibility

Every tool call, every token, every response. Logged and auditable. Data flows direct from Silhouette Score Engine to your agent. Nothing is stored on our side. Ever.

Control

Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.