mcpbeat

Talent-Augmenting Layer MCP Server

io.github.angelo-leone/talent-augmenting-layer
answering

Talent-Augmenting Layer is answering right now. Last checked 1 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 39 hours of history
39 hours agonow
100.0%
Uptime 24h
92 of 92 checks
—
Tools
hidden behind auth
289 ms
Response time
average over 24h
API key or OAuth
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.

run in your terminal
claude mcp add talent-augmenting-layer --transport http https://proworker-hosted.onrender.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "talent-augmenting-layer": {
      "url": "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
{
  "mcpServers": {
    "talent-augmenting-layer": {
      "url": "https://proworker-hosted.onrender.com/mcp"
    }
  }
}

This endpoint answered with an authorization challenge — the server is running, but you need an API key or OAuth to use it.

Endpoints

URLTransportStateLatencyChecked
https://proworker-hosted.onrender.com/mcp streamable-http needs key 668 ms 1 min ago

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 92 of 92 checks got a reply (100.0%), average response time 289 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 with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You will need your own key or an OAuth login: it refuses anonymous clients.
Does Talent-Augmenting Layer need an API key?
Yes. Every time we knock, Talent-Augmenting Layer answers with an authorization challenge instead of its tool list — that is how we know it is running and gated rather than broken. Bring your own credentials and it will talk.
How fast is Talent-Augmenting Layer?
It answers our handshake in 289 ms on average, which is faster than 47% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.