MCP For Claude Marketplace
Enterprise Stakeholder Engagement Score

Enterprise Stakeholder Engagement Score MCP Connector for Claude

A+

Analyze stakeholder relationship health, momentum, and risks.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides advanced analytical tools to measure the quality and momentum of stakeholder relationships. Use calculate_engagement_score to determine the qualitative health of your engagement, calculate_engagement_velocity to track relationship trends, identify_engagement_risks to flag critical stakeholders needing attention, and summarize_stakeholder_landscape for a high-level overview of influence and engagement distribution.

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

calculate_engagement_score

Provide a JSON array of stakeholders for accurate scoring. Calculates the current qualitative health of stakeholder engagement

calculate_engagement_velocity

Supply both current and previous period metrics. Calculates the rate of change in engagement over time

identify_engagement_risks

Pass a JSON array of stakeholder metrics and defined thresholds. Identifies stakeholders requiring immediate attention based on thresholds

summarize_stakeholder_landscape

Pass a JSON array of stakeholder metrics. Provides a high-level breakdown of stakeholder influence and engagement

See how to talk to your AI agent using Enterprise Stakeholder Engagement Score.

What is the current qualitative health of our stakeholder engagement?

The current engagement score is 78, with a weighted average depth of 0.75 and a weighted average sentiment of 0.4.

Are there any stakeholders that require immediate attention?

Yes, stakeholder ID 'SH-992' is flagged as High Severity due to low sentiment and high importance.

Give me a high-level breakdown of our stakeholder landscape.

There are 15 total stakeholders, with 3 high-influence individuals and an average engagement score of 65.

The score is a normalized value from 0 to 100, calculated by weighting stakeholder importance and influence against meeting frequency, engagement depth, and sentiment scores.

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