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Connect AI Research Productivity Analyzer 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. Get clear metrics on output, impact, and efficiency.

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

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.

A futuristic MCP client docking bay
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 Research Productivity.

  1. 01

    Get impact metrics

    Measures the scientific influence and technological reach of the 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 productivity metrics

    Evaluates the core output volume of a research team

Real work

What teams actually run

01

Securing New Funding

Before applying for a grant, run the full analysis to prove your team's historical output and future potential impact.

02

Annual Department Review

Use this to compare the productivity and talent ROI of different research groups within the company.

03

Strategic Pivot Planning

Determine which areas of research have the highest efficiency and impact to guide future resource allocation.

04

Evaluating Team Performance

Get objective data on whether a team's output volume matches its allocated budget and staffing costs.

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

937ms average. Fast in production.

AI Research Productivity is checked daily against the live service.

Daily averagePeak 1186ms
Oct 3Today
Fastest day
763ms
Slowest day
1186ms
14-day trend
Slowing+5%

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? Set up AI Research Productivity in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Research Productivity owners hand off.

This MCP is essential for anyone who needs to justify the value of complex, high-level research. It gives you the metrics needed to report to executives, secure funding, or evaluate departmental performance.

  • 01

    R&D Director

    Use this to compare the output and efficiency of different research teams.

  • 02

    Academic Administrator

    Run these metrics to assess a department's overall scientific influence and publication volume.

  • 03

    Strategy Consultant

    Use this to model the potential return on investment from different areas of research focus.

FAQ

Questions AI Research Productivity owners ask.

  • 01

    Does this MCP only work for AI research?

    No. While it was built for AI research, the metrics—like output volume and citation impact—apply to any field that generates measurable intellectual property or research output.

  • 02

    What kind of data do I need to provide?

    You need specific data points, such as the number of researchers, total budget spent, publication counts, and citation totals. The more precise your input, the better the metric.

  • 03

    Is this connector hard to use?

    No. You connect it through the Vinkius Catalog, and then you just prompt your AI client naturally. It works like any other capability you'd use with your agent.

  • 04

    Can I compare multiple teams?

    Yes. You can run the analysis multiple times, adjusting the inputs for each team, allowing you to compare their productivity and efficiency side-by-side.

  • 05

    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.

  • 06

    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.

  • 07

    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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