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PromptOT MCP Server

by promptot Your server? Claim it
answering

PromptOT is answering right now. Last checked 8 min ago. 33 installs a week from npm.

Manage, version, and publish LLM prompts with blocks, variables, and evaluations.

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

Installs per day peak 17 · avg 6 · +16% w/w
a month agotoday
Uptime history 48 days of history · worst day 99%
48 days agonow
100.0%
Uptime 24h
92 of 92 checks
—
Tools
hidden behind auth
565 ms
Response time
average over 24h
33
Installs / week
npm and PyPI

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 8 min ago.

run in your terminal
claude mcp add mcp --transport http https://mcp.promptot.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.promptot.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp]
url = "https://mcp.promptot.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.promptot.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.promptot.com/mcp"
    }
  }
}

This one needs environment variables set before it will start: PROMPTOT_API_KEY (Scoped API key from the PromptOT dashboard (Settings > API Keys)), PROMPTOT_MCP_CLIENT (Client identifier for analytics attribution (e.g. claude-desktop, cursor)). The author declared them in the registry entry; get the values from the project itself.

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://mcp.promptot.com/mcp streamable-http sign-in 499 ms 8 min ago

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PromptOT — questions

Answers built from our own checks of this server.

Why is there no tool list for PromptOT?
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 PromptOT 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 565 ms. The bar chart above shows every period we have measured.
Is PromptOT 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 PromptOT?
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 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 PromptOT?
No API key is involved. PromptOT 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 PromptOT?
It answers our handshake in 565 ms on average, which is faster than 23% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use PromptOT?
The npm package @prompt-ot/mcp was installed 33 times in the last week. Week over week that is +16%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.