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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Ecosystem Analytics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Pinpoint market maturity, growth potential, and structural health.

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 AI Ecosystem Analytics capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Ecosystem Analytics.

  1. 01

    Compare ecosystems

    Evaluates the relative dominance and value gap between two different ecosystems

  2. 02

    Calculate ecosystem valuation

    Determines the total economic value and core health metrics of a specific AI ecosystem

  3. 03

    Get growth potential

    Predicts how much value an ecosystem could gain if it increases its engagement metrics

  4. 04

    Analyze integration density

    Assesses how "useful" the ecosystem is to the broader market by checking the depth of its integrations

One connector, every AI

AI Ecosystem 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put AI Ecosystem 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

948ms average. Fast in production.

AI Ecosystem Analytics is checked daily against the live service.

Daily averagePeak 990ms
Sep 5Today
Fastest day
789ms
Slowest day
990ms
14-day trend
Slowing+25%

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 AI Ecosystem Analytics, so you can see the experience inside your AI.

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

AI Ecosystem Analytics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_687t13hMiSm1UM2rcdthB6nJd8FYfjEtNR6t9lFy/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 — AI Ecosystem Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-developer-ecosystem-valuation-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_687t13hMiSm1UM2rcdthB6nJd8FYfjEtNR6t9lFy/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 ↑

Who it's for

Built for the work AI Ecosystem Analytics owners hand off.

This MCP is built for business strategists and investors who analyze the health of tech platforms. If your job involves assessing the viability of an AI developer toolset, this capability provides the necessary metrics. You get hard data on network effects and growth potential, moving your analysis beyond simple guesswork.

  • 01

    Venture Capital Analyst

    Use this to run due diligence on potential investments by comparing ecosystem metrics and calculating total economic value.

  • 02

    Product Manager

    Use this to gauge the current market maturity of your own platform by analyzing integration density and identifying areas for growth.

  • 03

    Tech Strategist

    Use this to model future growth potential and determine the structural health of an entire developer ecosystem.

FAQ

Questions AI Ecosystem Analytics owners ask.

  • 01

    What kind of data does this MCP analyze?

    This MCP analyzes developer metrics, including active developers, SDK downloads, contributions, and the depth of integrations. It uses these inputs to calculate the total economic worth and structural health of the ecosystem.

  • 02

    Can I compare two different AI platforms?

    Yes. The compare_ecosystems capability lets you evaluate the relative dominance and value gap between two different ecosystems, helping you see who has more market power.

  • 03

    Is this capability for all types of AI?

    It is designed for analyzing AI developer ecosystems. It focuses on the structural and financial metrics that define a developer-centric platform.

  • 04

    What does 'integration density' mean?

    Integration density assesses how useful the ecosystem is to the broader market. A high score means the platform has deep integrations, indicating market maturity.

  • 05

    Does this MCP require authentication?

    No, this MCP does not require authentication to run its valuation and analysis capabilities.

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