Add Meta-Analysis MCP Server

[matheus-rech]

Add Meta-Analysis MCP Server

This PR adds the Meta-Analysis MCP Server to the Docker MCP Registry.

About the Server

The Meta-Analysis MCP Server democratizes meta-analysis through guided workflows, automated statistical validation, and seamless R integration. It's designed for researchers, clinicians, and data scientists conducting systematic reviews and meta-analyses.

Key Features

• 🎯 Guided Workflows: Step-by-step meta-analysis process from data import to report generation
• 📊 Multiple Effect Measures: Support for OR, RR, MD, SMD, HR
• 🔍 Automated Validation: Statistical checks and data quality assessment
• 📈 Publication-Ready Visualizations: Forest plots and funnel plots
• 🔬 Publication Bias Assessment: Egger's test, Begg's test, trim-and-fill
• 📝 Comprehensive Reporting: HTML/PDF/Word formats with reproducible code
• 🐳 Containerized R Environment: Includes meta, metafor, and essential R packages

Docker Image

• Image: mmrech/mcp-meta-analysis-r:latest
• Platforms: linux/amd64, linux/arm64
• Docker Hub: https://hub.docker.com/r/mmrech/mcp-meta-analysis-r

Source Code

• GitHub Repository: https://github.com/matheus-rech/mcp-meta-analysis-with-r
• License: MIT
• Documentation: Comprehensive README with examples and setup instructions

MCP Tools Provided

1. initialize_meta_analysis - Start new meta-analysis projects
2. upload_study_data - Upload and validate data (CSV/Excel/RevMan)
3. perform_meta_analysis - Execute statistical analysis
4. generate_forest_plot - Create publication-ready forest plots
5. assess_publication_bias - Comprehensive bias assessment
6. generate_report - Create detailed reports
7. list_sessions - View all sessions
8. get_session_status - Check session details

Testing

The server has been tested with:

• Local R installations
• Docker containerized environments
• Claude Desktop integration
• Multiple data formats and effect measures

Category

Submitted under: data-science

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