Use Enterprise Multi-threading Score with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Analyze deal health and predict win probability through stakeholder engagement depth.
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.
Complete set · 4 capabilities
The complete Enterprise Multi-threading Score capability set.
These are the exact actions your AI can choose when you ask it to work with Enterprise Multi-threading Score.
01-04
4 capabilities in this set.
Part of 4 available through Enterprise Multi-threading Score.
- 01
Analyze deal health
Provides a high-level overview of a deal's multi-threading status
- 02
Calculate engagement gap
Identifies specific missing segments within the buying committee
- 03
Get account benchmarks
Compares a specific deal against organizational standards for multi-threading
- 04
Predict win probability
Evaluates the likelihood of a successful outcome based on current engagement depth
One connector, every AI
Enterprise Multi-threading Score 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Enterprise Multi-threading Score 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
859ms average. Fast in production.
Enterprise Multi-threading Score is checked daily against the live service.
- Fastest day
- 759ms
- Slowest day
- 1100ms
- 14-day trend
- Improving-21%
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 Enterprise Multi-threading Score, so you can see the experience inside your AI.
It does not authenticate your account with Enterprise Multi-threading Score. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Enterprise Multi-threading Score Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_182adgLaC9TSlBwo8SM6KmAkqeuciN4j4PKrptsO/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Enterprise Multi-threading Score capabilities are ready to use.
{
"mcpServers": {
"enterprise-multi-threading-score-mcp": {
"url": "https://edge.vinkius.com/vk_preview_182adgLaC9TSlBwo8SM6KmAkqeuciN4j4PKrptsO/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? link.label
FAQ
Questions Enterprise Multi-threading Score owners ask.
- 01
How is the multi-threading score calculated?
The score is determined by the balance of champions and decision makers relative to the total committee complexity using analyze_deal_health logic.
- 02
Can I identify which stakeholders are missing from a deal?
Yes, the calculate_engagement_gap capability identifies specific missing segments within the buying committee.
- 03
How does this help predict deal success?
The predict_win_probability capability evaluates the likelihood of a successful outcome based on current engagement depth and historical patterns.
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