MCP.Market

Talent Augmentation OS MCP server

online · 100% uptime
by taoshq.com·com.taoshq/taos·v0.3.0
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Grow your skills with AI: per-skill coaching inside Claude, ChatGPT, Cursor and Codex

A97/100grade A
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Safety scan
A97/100

full report

Adoption
Growing

0 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

Talent Augmentation OS tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-10-14 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 98ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 9 days ago15/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10
Overall 97/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Talent Augmentation OS compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
97/100
higher than 98% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
374 ms
faster than 39% of 30,031 servers

Install Talent Augmentation OS in Claude Code, Cursor or VS Code

claude mcp add --transport http taos https://taoshq.com/mcp
Add to Cursor

What the publisher says

From the Talent Augmentation OS repository's README, as published. We do not edit it. Read it on GitHub

TAOS connector

Talent Augmentation OS (TAOS) is a personalised AI coaching layer for the AI you already use. It speeds you up where you are strong, coaches you where you are growing, and keeps the skills you care about from quietly atrophying under AI use.

This repository holds the thin skills and connector that link your AI client to the hosted TAOS service. The assessment engine, the coaching method, and your profile all live server-side and are delivered over your authenticated connection. Nothing proprietary lives in this repo: the skills only orchestrate calls to the hosted tools.

Install

Claude Code

claude mcp add taos --transport http https://taoshq.com/mcp

Claude Desktop, ChatGPT, Cursor, Windsurf, Codex, or any MCP-aware client

Add a custom connector pointing at:

https://taoshq.com/mcp

Authentication is Google OAuth, handled by your client on first connect.

After connecting

Ask your assistant: "Run my TAOS assessment."

Or build your profile on the web at taoshq.com.

How it works

TAOS rates your expertise per domain, then matches each task to the right mode: accelerate your expert work, coach your growth areas, protect skills at risk, or hand judgement calls back to you. Your profile is portable and follows you across AI vendors.

Learn more and read the research at taoshq.com/learn.

Licence

The connector configuration in this repository is MIT licensed. The TAOS service it connects to is proprietary. See LICENSE and taoshq.com/terms.

Nothing above is checked by us. What we check is on the safety report.

Talent Augmentation OS: common questions

Is Talent Augmentation OS MCP server safe?
Yes, by our scan: it is graded A (97/100). Read the Talent Augmentation OS safety report
How do I install Talent Augmentation OS?
It runs remotely at taoshq.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Talent Augmentation OS need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is Talent Augmentation OS maintained?
The last commit was 30 days ago (2026-10-05). The latest release is v0.3.0.
Is Talent Augmentation OS up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Talent Augmentation OS compare with other MCP servers?
safety score 97/100 (higher than 98% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 374 ms (faster than 39% of 30,031 servers). Full comparison.