Cochrane Meta-Analysis MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| import_revman_dataA | Import and parse meta-analysis data from CSV, Excel (XLSX), or JSON formats. Supports both structured Cochrane datasets and flat record arrays. Extracts study metadata, outcomes, and analysis parameters following Cochrane standards. |
| validate_cochrane_dataA | Validate study data against Cochrane standards. Checks PICO criteria, sample sizes, effect sizes, and data quality. |
| perform_meta_analysisB | Execute meta-analysis using R metafor/meta packages. Follows Cochrane Handbook Chapter 10 guidelines. |
| generate_forest_plotB | Create publication-ready forest plot following Cochrane standards. |
| assess_publication_biasB | Perform publication bias assessment using funnel plots, Egger's test, and trim-and-fill method. |
| generate_cochrane_reportB | Generate comprehensive meta-analysis report in Cochrane format (HTML/PDF). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Each tool targets a distinct stage in the meta-analysis workflow: import, validate, analyze, visualize, bias assessment, and report generation. No overlap or ambiguity between tool purposes.
All tool names follow a consistent verb_noun snake_case pattern (import_, validate_, perform_, generate_, assess_, generate_). The pattern is uniform and predictable.
Six tools cover the essential steps of a Cochrane meta-analysis pipeline without being excessive. Each tool serves a clear and necessary role, making the set well-scoped.
The toolset covers the core workflow from data import to report generation. Minor gaps exist (e.g., sensitivity analysis, subgroup analysis, data export), but the primary domain is well represented.