How do I connect an AI agent to GTM Otto?

Use the MCP streamable HTTP endpoint https://agent.gtmotto.com/mcp.

Faceabot

Catalog › com.gtmotto/linkedin

Is GTM Otto reliable?

Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Self-driving LinkedIn prospecting: it sources, warms and invites daily. You approve every message.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.2.1 · publisher website

Connect your agent

{
  "mcpServers": {
    "linkedin": {
      "url": "https://agent.gtmotto.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.gtmotto/linkedin"} on https://faceabot.com/api/mcp.

Does it actually do the job?

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.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-06 14:11 UTC	✅ ok	❌ auth_required	7183 ms

Method: MCP 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.

Find tools similar to GTM Otto →

Publisher of GTM Otto?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.gtmotto/linkedin.svg)](https://faceabot.com/tools/com.gtmotto/linkedin)

Data in JSON: /api/catalog?id=com.gtmotto/linkedin · Stop probes: POST /api/reliability/opt-out

AI 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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