What is MCP Science?
MCP Science is a infrastructure that Unified command-line launcher for discovering and running scientific research MCP servers from the Path Integral Institute's collection, using uvx to dynamically install and execute servers from local. It has a Nerq Trust Score of 44/100 (E). 116 GitHub stars. Published by https://github.com/pathintegral-institute/mcp.science. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 116 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What MCP Science Does
MCP Science is a mcp_server in the infrastructure category. Unified command-line launcher for discovering and running scientific research MCP servers from the Path Integral Institute's collection, using uvx to dynamically install and execute servers from local directories or remote Git branches with automatic dependency handling.. It is published by https://github.com/pathintegral-institute/mcp.science and has no specified license. With 116 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use MCP Science
MCP Science is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/pathintegral-institute/mcp.science |
|---|---|
| Category | infrastructure |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=mcp-science
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| n8n | 69 | 177.3K |
| langflow | 81 | 145.4K |
| dify | 70 | 130.8K |
| open-webui | 60 | 124.5K |
| gemini-cli | 60 | 99.5K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.