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Connect AI Developer Ecosystem Valuation to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Pinpoint market maturity, growth potential, and structural health.

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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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

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V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Ecosystem Analytics.

  1. 01

    Calculate ecosystem valuation

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

  2. 02

    Analyze integration density

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

  3. 03

    Compare ecosystems

    Evaluates the relative dominance and value gap between two different ecosystems

  4. 04

    Get growth potential

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

Real work

What teams actually run

01

Pre-Investment Due Diligence

Before investing, run a valuation comparison between two competing platforms to determine which one has superior network effects and stickiness.

02

Platform Health Check

Check your own platform's integration density score. This tells you if your ecosystem is useful to the broader market or if it's still in a nascent stage.

03

Growth Strategy Modeling

Model the potential value increase by projecting how much the platform's value will grow if you increase developer contributions by a specific percentage.

04

Competitive Positioning

Use the comparison capability to identify a rival's weakness in integration depth compared to your own platform.

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

885ms average. Fast in production.

AI Ecosystem Analytics is checked daily against the live service.

Daily averagePeak 978ms
Oct 3Today
Fastest day
710ms
Slowest day
978ms
14-day trend
Slowing+6%

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? Set up AI Ecosystem Analytics in Claude and other AIs

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.

  • 06

    What metrics are used for valuation?

    The valuation is based on active developers, SDK downloads, community contributions, and third-party integrations, adjusted for competitor strength.

  • 07

    How can I compare two different ecosystems?

    You can use the compare_ecosystems capability by providing the valuation results from both ecosystems to see the value gap and dominance ratio.

  • 08

    What is ecosystem maturity?

    Maturity is determined by integration density, which measures the number of third-party integrations available relative to the number of active developers.

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