Mmcp.market

ContextOS — Powered Exoskeleton for AI Coding

by yubinbin32-ops·io.github.yubinbin32-ops/contextos·v2.2.2

Powered exoskeleton for AI coding: auto-governs context via MCP to cut 90%+ context waste.

B83/100grade B
What users say
No reviews yet
Be the first
Safety scan
B83/100

full report

Adoption
Growing

8 stars

Reviews

Write one

Nobody 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

  • 2026-09-19restoreCBscore 83

Install directly

claude mcp add contextos -- docker run -i --rm ghcr.io/yubinbin32-ops/contextos:2.2.2
Add to Cursor

Alternatives to ContextOS — Powered Exoskeleton for AI Coding

Same job, ranked by rating then adoption.

See all →
  • Azure MCP Server
    All Azure MCP tools to create a seamless connection between AI agents and Azure services.
    C
  • Microsoft 365 MCP Server
    Interact with Microsoft 365 and Office services through the Microsoft Graph API.
    B
  • Memorix
    Local-first project memory with legacy MCP and 2026 discovery compatibility.
    C
  • mcp-grafana
    An MCP server giving access to Grafana dashboards, data and more.
    A
  • ARC-1
    MCP server for SAP ABAP systems
    B