Cochrane Meta-Analysis MCP Server

Cochrane Meta-Analysis MCP Server

An MCP (Model Context Protocol) server that provides AI-assisted meta-analysis workflows following Cochrane methodological standards.

Features

• RevMan Import: Parse RevMan 5 (.rm5 XML) and Cochrane CSV exports
• Data Validation: Comprehensive validation against Cochrane standards
• Meta-Analysis: R-based statistical analysis using metafor/meta packages
• Forest Plots: Publication-ready visualizations
• Publication Bias: Funnel plots, Egger's test, trim-and-fill
• Reporting: Automated Cochrane-style HTML/PDF reports

Installation

npm install
npm run build

Prerequisites

1. Node.js 18+
2. R 4.0+ with packages:

• metafor
• meta
• ggplot2
• jsonlite

Install R packages: ``r install.packages(c("metafor", "meta", "ggplot2", "jsonlite")) ``

Configuration

Add to Claude Desktop config (~/.config/claude/claude_desktop_config.json):

{
  "mcpServers": {
    "cochrane-meta": {
      "command": "node",
      "args": ["/Users/YOUR_USERNAME/Documents/cochrane-meta-mcp/dist/index.js"]
    }
  }
}

Available Tools

1. import_revman_data

Import and parse RevMan 5 files or Cochrane CSV exports.

{
  "file_path": "/path/to/review.rm5",
  "format": "rm5"
}

2. validate_cochrane_data

Validate study data against Cochrane standards.

{
  "data": { ... },
  "validation_level": "comprehensive"
}

3. perform_meta_analysis

Execute meta-analysis following Cochrane Handbook Chapter 10.

{
  "data": { ... },
  "effect_measure": "OR",
  "model": "random",
  "heterogeneity_test": true
}

4. generate_forest_plot

Create publication-ready forest plot.

{
  "analysis_results": { ... },
  "plot_style": "classic",
  "output_path": "/path/to/forest_plot.png"
}

5. assess_publication_bias

Perform publication bias assessment.

{
  "analysis_results": { ... },
  "methods": ["funnel_plot", "egger_test", "trim_fill"],
  "output_path": "/path/to/funnel_plot.png"
}

6. generate_cochrane_report

Generate comprehensive Cochrane-style report.

{
  "analysis_results": { ... },
  "format": "html",
  "output_path": "/path/to/report.html"
}

Example Usage with Claude

User: I have a Cochrane CSV file with 10 RCTs comparing intervention A vs control.
      Can you help me run a meta-analysis?

Claude: I'll help you analyze this. First, let me import the data using the import_revman_data tool...

[Uses import_revman_data]

Claude: Great! I've imported 10 studies. Let me validate the data...

[Uses validate_cochrane_data]

Claude: Validation passed with 2 warnings about small sample sizes.
        Now I'll perform the meta-analysis using a random-effects model
        with odds ratios as the effect measure...

[Uses perform_meta_analysis]

Claude: The pooled OR is 0.75 (95% CI: 0.62-0.91), p=0.003, with moderate
        heterogeneity (I²=45%). Let me generate a forest plot...

[Uses generate_forest_plot]

Claude: Forest plot created. Now checking for publication bias...

[Uses assess_publication_bias]

Claude: Egger's test p=0.42, no evidence of publication bias.
        Generating final report...

[Uses generate_cochrane_report]

Claude: Complete! Your meta-analysis report is ready at report.html

CSV Format

For CSV imports, use this format:

study_id,authors,year,title,intervention,comparison,outcome,events_treatment,n_treatment,events_control,n_control
Study1,Smith 2020,2020,RCT of intervention,Drug A,Placebo,Mortality,10,100,20,100
Study2,Jones 2021,2021,Another RCT,Drug A,Placebo,Mortality,15,150,30,150

For continuous outcomes: ``csv study_id,authors,year,title,intervention,comparison,outcome,mean_treatment,sd_treatment,n_treatment,mean_control,sd_control,n_control ``

Development

# Watch mode
npm run dev

# Build
npm run build

# Test (coming soon)
npm test

Architecture

• TypeScript MCP Server: Handles tool requests from Claude
• R Bridge: Executes statistical analyses via Rscript
• Validation Layer: Zod schemas for data validation
• Tools: Modular tool implementations for each MCP capability

Integration with Existing Tools

This MCP server integrates with your existing meta-analysis infrastructure:

• Uses your R meta-analysis scripts (~/meta_analysis_workflow.R)
• Compatible with medical research multi-agent system
• Can leverage AI citation processors for literature extraction

Cochrane Compliance

Follows:

• Cochrane Handbook for Systematic Reviews (Chapter 10)
• PRISMA reporting guidelines
• Cochrane risk of bias (RoB 2) recommendations
• GRADE framework for evidence certainty

License

MIT

Version

0.1.0

Author

Matheus Rech