AI ESG Scoring Engine

AI ESG Scoring Engine MCP Connector for Claude

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Calculate holistic AI ESG scores, compliance gaps, and required investment needs.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a specialized scoring engine to evaluate the Environmental, Social, and Governance (ESG) impact of AI systems. It allows AI agents to analyze ethics frameworks, bias mitigation, transparency, and governance structures. Using calculate_ai_esg_score, agents can determine a composite responsibility score (0-100) and identify specific compliance gaps. For deeper analysis, evaluate_bias_risk assesses social impact, while assess_governance_readiness evaluates organizational oversight. Additionally, project_investment_needs helps simulate the capital required to reach target ESG milestones.

esgai-ethicscompliancegovernancerisk-management

4 tools expose this connector's capabilities to your AI agent.

assess_governance_readiness

Evaluate if the organizational structure is sufficient to manage AI risks

calculate_ai_esg_score

Compute the primary holistic ESG score and associated financial/compliance metrics

evaluate_bias_risk

Provide a deep dive into the social risk component of the AI system

project_investment_needs

Simulate how much investment is needed to reach specific ESG target milestones

See how to talk to your AI agent using AI ESG Scoring Engine.

Calculate the AI ESG score for a system with a bias mitigation level of 0.8, transparency rating of 0.7, governance strength of 0.9, and stakeholder impact of 0.8.

The calculated AI ESG score is 82. The system shows high governance stability but has minor compliance gaps in transparency documentation.

What is the social risk if my bias mitigation level is 0.5 and the demographic parity gap is 0.3?

The social risk score is 45. Mitigation urgency is Scheduled. It is recommended to increase training data diversity to reduce the demographic parity gap.

How much investment is needed to move my current score of 65 to a target of 85?

The estimated required investment is €45,000 to achieve a projected score increase of 20 points.

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.

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