MCP For Claude Marketplace
AI Research Productivity Analyzer

AI Research Productivity Analyzer MCP Connector for Claude

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Calculate key performance indicators for AI research teams, including citation impact and R&D efficiency.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a suite of analytical tools to evaluate the performance of AI research organizations. By analyzing publication volume, citation impact, and R&D expenditure, it helps determine the scientific and economic value of research efforts. Use get_productivity_metrics to assess output density, get_impact_metrics to measure scientific influence, get_efficiency_metrics to analyze budget performance, and get_talent_roi to calculate the return on human capital across industry, academic, or hybrid sectors.

ai-researchmetricsrd-efficiencycitation-impacttalent-roi

4 tools expose this connector's capabilities to your AI agent.

get_impact_metrics

Measures the scientific influence and technological reach of the team

get_talent_roi

Calculates the return on investment for human capital

get_efficiency_metrics

Analyzes the economic performance of the R&D budget

get_productivity_metrics

Evaluates the core output volume of a research team

See how to talk to your AI agent using AI Research Productivity Analyzer.

Calculate the productivity metrics for a team of 10 researchers who published 50 papers.

The team has a productivity of 5.0 papers per researcher with a High output volume.

What is the citation impact for 20 papers with 400 citations?

The citation impact is 20.0 citations per paper.

Analyze the R&D efficiency for a $1,000,000 spend with 10 papers and 5 model releases.

The R&D efficiency is 0.000015 outputs per dollar, with a cost per output of $66,666.67.

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

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