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Promptcelerator MCP Server

by promptcelerator Your server? Claim it
answering

Promptcelerator is answering right now. Last checked 10 min ago. It exposes 3 tools.

Find AI video prompts that really worked, each with its video and its credited creator. Free.

Uptime history 30 hours of history
30 hours agonow
100.0%
Uptime 24h
91 of 91 checks
3
Tools
read from the server
173 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check Promptcelerator every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

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 10 min ago.

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

Available tools 3

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

fetch
fetch
Returns one prompt in full, from an id given by search or the address of a prompt page: the original text that produced the video, its translation when there is one, the blanks to fill, the model, the video and the credit of its creator.
options
list_options
Lists what search can filter on: the video models the library covers, its categories and its camera, light and style techniques.
search
search
Searches a free library of AI video prompts that really worked, each published next to the video it produced. Takes a plain-language description of a video (subject, mood, style, shot) in any language; English gives the closest matches. Returns the prompts that fit, best first, each with how well it fits (strong, possible or weak), its page, its video, its model and its creator. The full text of a prompt comes from fetch.

Endpoints

URLTransportStateLatencyChecked
https://promptcelerator.com/mcp streamable-http answering 220 ms 10 min ago

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Promptcelerator — questions

Answers built from our own checks of this server.

What can Promptcelerator do?
It exposes 3 tools, read directly from the server on our last check. Among them: fetch, list_options, search. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Promptcelerator 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 173 ms. The bar chart above shows every period we have measured.
How do I connect Promptcelerator?
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.
Does Promptcelerator need an API key?
No. Promptcelerator completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Promptcelerator?
It answers our handshake in 173 ms on average, which is faster than 81% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.