ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Enterprise Discovery Analytics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify the quality and outcome potential of enterprise sales discovery calls.

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 Enterprise Discovery Analytics capability set.

These are the exact actions your AI can choose when you ask it to work with Enterprise Discovery Analytics.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Enterprise Discovery Analytics.

  1. 01

    Assess stakeholder coverage

    Analyze if the correct organizational breadth was achieved during the call

  2. 02

    Calculate call score

    Provide a comprehensive performance rating for a specific discovery call

  3. 03

    Evaluate information depth

    Determine if the information gathered is sufficient to move to a proposal stage

  4. 04

    Analyze followup momentum

    Evaluate if the call resulted in actionable next steps

One connector, every AI

Enterprise Discovery Analytics 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.

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

You don't need a client to put Enterprise Discovery Analytics 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

970ms average. Fast in production.

Enterprise Discovery Analytics is checked daily against the live service.

Daily averagePeak 970ms
Sep 6Today
Fastest day
970ms
Slowest day
970ms
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 Enterprise Discovery Analytics, so you can see the experience inside your AI.

It does not authenticate your account with Enterprise Discovery Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Enterprise Discovery Analytics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_CpY3F4uQpZw1fMkqdvEi4vohXqZsrtnXsIbLTC3h/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 — Enterprise Discovery Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "enterprise-discovery-call-effectiveness-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_CpY3F4uQpZw1fMkqdvEi4vohXqZsrtnXsIbLTC3h/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

See all the AI clients this connector works with ↑

FAQ

Questions Enterprise Discovery Analytics owners ask.

  • 01

    How is the discovery score calculated?

    The score is a weighted aggregation of answered questions, confirmed pain points, and stakeholder mapping, adjusted by the deal's complexity level.

  • 02

    Can I use this to identify single-threaded deal risks?

    Yes, by using assess_stakeholder_coverage, you can identify engagement risks and determine if you have sufficient organizational breadth to avoid single-threaded deals.

  • 03

    What determines if a deal is ready for a proposal?

    The evaluate_information_depth capability determines readiness based on the ratio of pain points identified to questions answered, relative to the deal complexity.