Catalog › com.promptafire.marketing/promptafire
Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.
En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
Read Promptafire's AI-for-marketers lessons and blog. Optional sign-in unlocks Pro lessons.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.2.0 · publisher website{
"mcpServers": {
"promptafire": {
"url": "https://marketing.promptafire.com/api/mcp"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"com.promptafire.marketing/promptafire"} on https://faceabot.com/api/mcp.Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.
No measurement yet.
initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.Search transcribed painting lessons. Results cite the exact lesson and Vimeo timestamp.
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Package mcpb :https://github.com/207studio/chalkieboard-icloud-mcp/releases/download/v2.0.1/chalkieboard.mcpb · website · measurements and detailsShow your measured reliability on your README or website:
[](https://faceabot.com/tools/com.promptafire.marketing/promptafire)Data in JSON: /api/catalog?id=com.promptafire.marketing/promptafire · Stop probes:
POST /api/reliability/opt-outAI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt
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