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Talent-Augmenting Layer MCP Server

by angelo-leone Your server? Claim it
answering

Talent-Augmenting Layer is answering right now. Last checked 13 min ago.

Personalised AI augmentation system — makes you better at your work, not dependent on AI

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 91 days of history · worst day 99%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
302 ms
Response time
average over 24h
OAuth sign-in
Access
streamable-http

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add talent-augmenting-layer --transport http https://proworker-hosted.onrender.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://proworker-hosted.onrender.com/mcp
~/.codex/config.toml
[mcp_servers.talent-augmenting-layer]
url = "https://proworker-hosted.onrender.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "talent-augmenting-layer": {
      "url": "https://proworker-hosted.onrender.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "talent-augmenting-layer": {
      "type": "http",
      "url": "https://proworker-hosted.onrender.com/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://proworker-hosted.onrender.com/mcp streamable-http sign-in 603 ms 13 min ago

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Talent-Augmenting Layer — questions

Answers built from our own checks of this server.

Why is there no tool list for Talent-Augmenting Layer?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is Talent-Augmenting Layer working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 302 ms. The bar chart above shows every period we have measured.
Is Talent-Augmenting Layer still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Talent-Augmenting Layer?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Talent-Augmenting Layer?
No API key is involved. Talent-Augmenting Layer answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Talent-Augmenting Layer?
It answers our handshake in 302 ms on average, which is faster than 46% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.