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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI ESG Scoring Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify the ethical and social impact of your AI systems.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete AI ESG Scoring Engine capability set.

These are the exact actions your AI can choose when you ask it to work with AI ESG Scoring Engine.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI ESG Scoring Engine.

  1. 01

    Assess governance readiness

    This capability checks if your current organizational structure can actually manage AI risks. It evaluates whether your oversight is sufficient for the technology you are deploying.

  2. 02

    Calculate AI esg score

    This capability generates a primary ESG score from 0 to 100. It also outputs the specific financial and compliance metrics tied to that score.

  3. 03

    Evaluate bias risk

    This capability performs a deep dive into the social risk components of your AI. It focuses on identifying potential social impacts and demographic disparities.

  4. 04

    Project investment needs

    This capability runs simulations to estimate the capital required to reach specific ESG milestones. It helps you plan the budget needed to improve your scores.

One connector, every AI

AI ESG Scoring Engine works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put AI ESG Scoring Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1005ms average. Fast in production.

AI ESG Scoring Engine is checked daily against the live service.

Daily averagePeak 1005ms
Sep 14Today
Fastest day
1005ms
Slowest day
1005ms
14-day trend
Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI ESG Scoring Engine, so you can see the experience inside your AI.

It does not authenticate your account with AI ESG Scoring Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI ESG Scoring Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_2QMJ4f0Jxo2KoapvgXjILBaj60sx2aATev4q4AUg/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AI ESG Scoring Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-esg-scoring-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2QMJ4f0Jxo2KoapvgXjILBaj60sx2aATev4q4AUg/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? How to give Claude access to AI ESG Scoring Engine

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI ESG Scoring Engine owners hand off.

This MCP is built for professionals managing the intersection of AI deployment and corporate responsibility.

  • 01

    AI Compliance Officers

    They use the capability to identify regulatory gaps and document ESG scores for audits.

  • 02

    ESG Analysts

    They use the scoring engine to quantify the social and governance impact of new technologies.

  • 03

    Risk Managers

    They use the governance and bias capabilities to assess potential social and organizational liabilities.

FAQ

Questions AI ESG Scoring Engine owners ask.

  • 01

    What can this MCP do for AI ethics?

    It allows your AI agent to calculate ESG scores, evaluate bias risks, and check if your organization is ready to manage AI governance.

  • 02

    How is the ESG score calculated?

    The score is a composite value from 0 to 100 based on metrics like bias mitigation, transparency, governance, and stakeholder impact.

  • 03

    Can I use this to plan my ESG budget?

    Yes. The project_investment_needs capability simulates the capital required to reach specific ESG target milestones.

  • 04

    Which AI clients work with this MCP?

    Any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code, can use these capabilities.

  • 05

    Does this MCP help with bias detection?

    Yes. The evaluate_bias_risk capability provides a deep dive into the social risk components of your AI system.

  • 06

    What is the AI ESG score?

    The AI ESG score is a composite metric from 0 to 100 that represents the holistic responsibility and ethical standing of an AI system based on its governance, social impact, and transparency.

  • 07

    How can I estimate the cost of improving my AI's ethical standing?

    You can use the project_investment_needs capability to simulate the required investment in Euros to reach a specific target ESG score.

  • 08

    Does this capability account for regulatory requirements like the EU AI Act?

    Yes, the scoring model incorporates compliance gaps that reflect the distance between current system states and requirements set by regulatory bodies and institutional investors.

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