INDIVIDUAL MCP TOOL

search_prompts

Keyword search over LivePair's community prompt library — tested AI image and video prompts with the results they produced.

livepairai.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://livepairai.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for search_prompts and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.livepair]
url = "https://livepairai.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "livepair": {
      "type": "http",
      "url": "https://livepairai.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: livepair
Remote MCP URL: https://livepairai.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "livepair": {
      "url": "https://livepairai.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "livepair": {
      "type": "http",
      "url": "https://livepairai.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "livepair",
  "transport": "streamable-http",
  "url": "https://livepairai.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

get_prompt — Fetch one community prompt card by id — the verbatim prompt, model it ran on, the result media, like/view counts, and a studio link that preloads it.
trending_prompts — Use when the user asks for trending, most-used, most popular, or top prompts — do NOT keyword-search for these.
list_models — List LivePair's public image and video generation models — id, label, mode (text-to-image, image-to-video, etc), and rough generation time.