Use AI R&D Efficiency Analytics with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Turn research spending into measurable innovation metrics.
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.
Complete set · 4 capabilities
The complete AI R&D Efficiency Analytics capability set.
These are the exact actions your AI can choose when you ask it to work with AI R&D Efficiency Analytics.
01-04
4 capabilities in this set.
Part of 4 available through AI R&D Efficiency Analytics.
- 01
Analyze innovation composition
This capability determines if your efficiency comes from building intellectual property or increasing product release speed. It breaks down the ratio between patent filings and model releases.
- 02
Calculate efficiency score
This capability generates a core R&D efficiency metric for a specific project or timeframe. It uses your spend and output data to create a normalized score.
- 03
Compare to benchmarks
This capability measures your specific efficiency score against established industry standards. It shows you exactly where you sit within the current market landscape.
- 04
Get efficiency trends
This capability tracks how your productivity changes over multiple periods. It helps you see if your R&D momentum is increasing or slowing down.
One connector, every AI
AI R&D Efficiency 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put AI R&D Efficiency 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
1065ms average. Fast in production.
AI R&D Efficiency Analytics is checked daily against the live service.
- Fastest day
- 1065ms
- Slowest day
- 1065ms
- 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 AI R&D Efficiency Analytics, so you can see the experience inside your AI.
It does not authenticate your account with AI R&D Efficiency Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI R&D Efficiency Analytics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_qWtBLtJri1Tx6UiveeitwFu7FEsMZu7DqE5Z188e/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AI R&D Efficiency Analytics capabilities are ready to use.
{
"mcpServers": {
"ai-rd-efficiency-analytics-mcp": {
"url": "https://edge.vinkius.com/vk_preview_qWtBLtJri1Tx6UiveeitwFu7FEsMZu7DqE5Z188e/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? How to give Claude access to AI R&D Efficiency Analytics
Who it's for
Built for the work AI R&D Efficiency Analytics owners hand off.
This MCP is built for leadership teams managing high-cost AI research budgets who need data-driven proof of progress.
- 01
AI Research Leads
They use the capability to justify budget allocations and track team velocity.
- 02
Venture Capitalists
They use it to evaluate the R&D efficiency of portfolio companies.
- 03
Finance Directors
They use the metrics to correlate R&D spend with actual IP and product growth.
FAQ
Questions AI R&D Efficiency Analytics owners ask.
- 01
What data does this MCP need to calculate efficiency?
You need to provide R&D spend, the number of model releases, and the number of patent filings.
- 02
How does it define innovation composition?
It compares the ratio of intellectual property (patents) against product velocity (model releases).
- 03
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.
- 04
Does this capability provide industry benchmarks?
Yes, the compare_to_benchmarks capability allows you to measure your efficiency against established industry standards.
- 05
How is the efficiency score calculated?
The score is a normalized metric that correlates your financial R&D investment with your specific innovation outputs.
- 06
What is the R&D efficiency score?
It is a normalized metric from 0 to 100 that measures how effectively capital is converted into innovation, such as through calculate_efficiency_score.
- 07
How can I compare my performance to the industry?
You can use the compare_to_benchmarks capability to evaluate your score against established industry standards and performance tiers.
- 08
Can I track efficiency over time?
Yes, the get_efficiency_trends capability allows you to analyze momentum, direction, and volatility across multiple historical periods.
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