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Is Tesla reliable?

Flaky Partly. Faceabot measured Tesla 3 times and only 67% of checks succeeded. Plan a fallback.

Last check: 2026-10-11 12:31 UTC · answered in 9314 ms · remote (no install)

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

What it does

Tesla Fleet API for AI: send navigation destinations, read battery and location, run car commands.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "tesla-mcp": {
      "url": "https://api.mcp.ai/p_tesla"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.mcp-dir/tesla-mcp"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Real task being tested — Faceabot asked show_version to do a small read-only task 2 time(s): 0 returned a real result. Last result: http_404 in 3265 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-11 12:31 UTC❌ timeout9314 ms
2026-10-11 06:20 UTC✅ ok❌ http_4048260 ms
2026-10-11 00:10 UTC✅ ok❌ http_4047142 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.

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Find tools similar to Tesla →

Publisher of Tesla?

Show your measured reliability on your README or website:

Faceabot reliability badge for Tesla

[![Measured by Faceabot](https://faceabot.com/badge/io.github.mcp-dir/tesla-mcp.svg)](https://faceabot.com/tools/io.github.mcp-dir/tesla-mcp)
Data in JSON: /api/catalog?id=io.github.mcp-dir/tesla-mcp · Stop probes: POST /api/reliability/opt-out

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