Catalog › app.theona/linkedin-content-planner
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.
Draft, revise and review LinkedIn posts; a human approves each one before it goes live.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website{
"mcpServers": {
"linkedin-content-planner": {
"url": "https://linkedin-mcp.theona.app/mcp"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"app.theona/linkedin-content-planner"} 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.
| When | Answers | Real task | Latency |
|---|---|---|---|
| 2026-10-06 10:10 UTC | ❌ auth_required | 2066 ms |
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.Identify a person from partial information and return a profile with a confidence score per field.
MCP endpoint :https://api.theona.ai/mcp/person-enrichment · website · measurements and detailsFind tools similar to LinkedIn Content Planner →
Show your measured reliability on your README or website:
[](https://faceabot.com/tools/app.theona/linkedin-content-planner)Data in JSON: /api/catalog?id=app.theona/linkedin-content-planner · 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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