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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Research Productivity with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate key performance indicators for AI research teams, including citation impact and R&D efficiency.

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 Research Productivity capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Research Productivity.

  1. 01

    Get productivity metrics

    Evaluates the core output volume of a research team

  2. 02

    Get talent roi

    Calculates the return on investment for human capital

  3. 03

    Get efficiency metrics

    Analyzes the economic performance of the R&D budget

  4. 04

    Get impact metrics

    Measures the scientific influence and technological reach of the team

One connector, every AI

AI Research Productivity 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 Research Productivity 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

862ms average. Fast in production.

AI Research Productivity is checked daily against the live service.

Daily averagePeak 880ms
Sep 5Today
Fastest day
750ms
Slowest day
880ms
14-day trend
Slowing+17%

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 Research Productivity, so you can see the experience inside your AI.

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

AI Research Productivity Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Jq3Dgq3N6e2mS10WygM9YwMXQq2seoLchcKqifmp/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 Research Productivity capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-research-productivity-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Jq3Dgq3N6e2mS10WygM9YwMXQq2seoLchcKqifmp/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 AI Research Productivity owners ask.

  • 01

    How does the capability calculate R&D efficiency?

    The get_efficiency_metrics capability calculates efficiency by comparing the total number of scientific outputs (papers and model releases) against the total R&D spend.

  • 02

    Can I benchmark against different sectors?

    Yes, the get_talent_roi capability allows you to specify the benchmarking context as industry, academic, or hybrid to get a relevant ROI score.

  • 03

    What metrics are included in the productivity analysis?

    The get_productivity_metrics capability provides the papers per researcher and a qualitative descriptor of the overall output volume.

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