ContextOS — Powered Exoskeleton for AI Coding
by yubinbin32-ops·
io.github.yubinbin32-ops/contextos·v2.2.2Powered exoskeleton for AI coding: auto-governs context via MCP to cut 90%+ context waste.
B83/100grade B
Adoption
Growing
8 stars
Reviews
Write oneNobody has reviewed ContextOS — Powered Exoskeleton for AI Coding yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Tools
Tool lists for local packages are only visible after install.
Public scan report
scanner v0.1.3 · 2026-09-19 · same rubric, same numbers if you re-run it
no findings
- –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 1 days ago15/15
- Maintainer identityregistry namespace matches repository owner6/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON
Grade history
- 2026-09-19restoreC → Bscore 83
Install directly
claude mcp add contextos -- docker run -i --rm ghcr.io/yubinbin32-ops/contextos:2.2.2
Alternatives to ContextOS — Powered Exoskeleton for AI Coding
Same job, ranked by rating then adoption.
- Azure MCP ServerAll Azure MCP tools to create a seamless connection between AI agents and Azure services.not reviewedWidely usedC
- Microsoft 365 MCP ServerInteract with Microsoft 365 and Office services through the Microsoft Graph API.not reviewedEstablishedB
MemorixLocal-first project memory with legacy MCP and 2026 discovery compatibility.not reviewedEstablishedC- mcp-grafanaAn MCP server giving access to Grafana dashboards, data and more.not reviewedEstablishedA
ARC-1MCP server for SAP ABAP systemsnot reviewedEstablishedB