Catalog › io.github.linglistack/heyreagent-linkedin-mcp
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.
Free to start. Hosted LinkedIn MCP for your own account: inbox, invites, search. Not by LinkedIn.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website{
"mcpServers": {
"heyreagent-linkedin-mcp": {
"url": "https://api.heyreagent.com/mcp"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.linglistack/heyreagent-linkedin-mcp"} 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 21:31 UTC | ❌ auth_required | 2344 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.Run LinkedIn outreach from your AI chat: find leads, launch campaigns, send, and reply.
MCP endpoint :https://mcp.linkednav.com/ · website · measurements and detailsFind tools similar to HeyReagent LinkedIn MCP →
Show your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.linglistack/heyreagent-linkedin-mcp)Data in JSON: /api/catalog?id=io.github.linglistack/heyreagent-linkedin-mcp · Stop probes:
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