prismAId MCP server
io.github.open-and-sustainable/prismaid-mcp·v0.17.1·31 starsMCP server for prismAId AI-assisted systematic reviews and protocol conformance checking.
31 stars
Reviews
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prismAId MCP tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-11-02 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 54 days ago12/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
How prismAId MCP compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 83/100
- higher than 65% of 48,255 servers
- GitHub stars
- 31
- more than 92% of 28,688 servers
Install prismAId MCP in Claude Code, Cursor or VS Code
claude mcp add prismaid-mcp -- docker run -i --rm ghcr.io/open-and-sustainable/prismaid-mcp:0.17.1
What the publisher says
From the prismAId MCP repository's README, as published. We do not edit it. Read it on GitHub
prismAId
Open Science AI Tools for Systematic, Protocol-Based Literature Reviews
prismAId offers a suite of tools using generative AI models to streamline systematic reviews of scientific literature.
It provides simple-to-use, efficient, and replicable methods for screening and analyzing research papers with no coding skills required.
Toolkit Overview
prismAId offers a comprehensive set of tools for systematic literature reviews:
Core Tools
- Screening - Filter and tag manuscripts to identify items for exclusion
- Download - Download papers from Zotero collections or from URL lists
- Convert - Convert files (PDF, DOCX, HTML) to plain text for analysis
- Review - Process systematic literature reviews based on TOML configurations
- RevAIse documentation support - Optionally document review stages as RevAIse review records
Workflow
Our tools support a comprehensive systematic review workflow following the standard sequence: Search → Screen → Download → Convert → Review. RevAIse support can document Zotero download, screening, and review/extraction stages in one cumulative review record.
Access Methods
- AI agents via the MCP server - A main entry point: connect an AI assistant to the prismAId MCP server and drive every tool in conversation
- Command Line Interface - For users who prefer terminal-based workflows
- Web Initializer - A browser-based setup tool for configuring reviews
- Programming Libraries - API access through multiple languages:
- Go (native implementation)
- Python package
- R package
- Julia package
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Grade history
- 2026-11-02downgradeA → Bscore 83
prismAId MCP: common questions
- Is prismAId MCP server safe?
- Mostly: it is graded B (83/100). Read the prismAId MCP safety report
- How do I install prismAId MCP?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does prismAId MCP need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is prismAId MCP maintained?
- The last commit was 56 days ago (2026-09-09). The latest release is v0.17.1.
- How does prismAId MCP compare with other MCP servers?
- safety score 83/100 (higher than 65% of 48,255 servers); github stars 31 (more than 92% of 28,688 servers). Full comparison.