Enterprise Multi-threading Score

Enterprise Multi-threading Score MCP Connector for Claude

A+

Analyze deal health and predict win probability through stakeholder engagement depth.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides advanced analytics to measure multi-threading effectiveness within complex sales cycles. By analyzing the depth of engagement across the buying committee, it helps sales teams identify risks and opportunities. Use analyze_deal_health to get a high-level status, predict_win_probability to evaluate success likelihood, calculate_engagement_gap to find missing stakeholders, and get_account_benchmarks to compare deals against organizational standards.

salesmulti-threadingwin-ratestakeholder-engagementdeal-health

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

analyze_deal_health

Provides a high-level overview of a deal's multi-threading status

calculate_engagement_gap

Identifies specific missing segments within the buying committee

get_account_benchmarks

Compares a specific deal against organizational standards for multi-threading

predict_win_probability

Evaluates the likelihood of a successful outcome based on current engagement depth

See how to talk to your AI agent using Enterprise Multi-threading Score.

What is the health of my current deal with 5 stakeholders, 1 champion, and 1 decision maker in a committee of 4?

The multi-threading score is 4.5. There is a significant gap in decision maker engagement for a committee of this complexity.

What is the win probability for a deal with 10 stakeholders, 3 champions, and 3 decision makers in a committee of 6?

The win correlation score is 0.85, indicating a high likelihood of success based on historical engagement patterns.

Show me the engagement gaps for a deal with 2 stakeholders, 0 champions, and 1 decision maker in a committee of 5.

Critical gaps identified: 2 missing champions and 2 missing decision makers required for optimal engagement.

The score is determined by the balance of champions and decision makers relative to the total committee complexity using `analyze_deal_health` logic.

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