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Is Tanod Images reliable?

Reliable (measured) Yes. Faceabot measured Tanod Images 38 times: 100% of checks succeeded, including the last 38 in a row (last check 2026-10-19 14:05 UTC). It answers, but its real task has not worked yet (0/38 real results): see "Does it actually do the job?" below.

Last check: 2026-10-19 14:05 UTC · answered in 5952 ms · remote (no install)

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

What it does

Image toolkit: resize, convert, compress, crop, metadata, hashes, favicons, OCR, QR codes, barcodes.

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

Fails real tasks — Faceabot asked image_blurhash to do a small read-only task 38 time(s): 0 returned a real result. Last result: tool_error (its schema declares no required input, so Faceabot sent {}; the tool answered with an error, so it probably needs inputs its schema does not declare) in 2564 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Other proven tools for the same job

image-processing Reliable (measured) · 100%
Image processing for AI agents: resize, convert, compress, crop, and web-ready AI-generated images. · https://api.pictomancer.ai/mcp

glassypic Reliable (measured) · 100%
Production-ready images in one pass: resize, crop, compress, convert format, upscale, tag for SEO · https://app.glassypic.com/mcp

TinyPNG MCP by usefulapi Reliable (measured) · 100%
Compress, resize and convert images with TinyPNG by URL, and check this month's compression count. · https://tinypng.usefulapi.io/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 14:05 UTC✅ ok❌ tool_error5952 ms
2026-10-18 22:25 UTC✅ ok❌ tool_error5835 ms
2026-10-18 08:15 UTC✅ ok❌ tool_error4773 ms
2026-10-18 00:25 UTC✅ ok❌ tool_error4350 ms
2026-10-17 16:15 UTC✅ ok❌ tool_error4639 ms
2026-10-17 08:10 UTC✅ ok❌ tool_error7030 ms
2026-10-17 00:15 UTC✅ ok❌ tool_error6831 ms
2026-10-16 17:05 UTC✅ ok❌ tool_error8646 ms
2026-10-16 10:05 UTC✅ ok❌ tool_error9130 ms
2026-10-16 03:10 UTC✅ ok❌ tool_error7107 ms
2026-10-15 20:15 UTC✅ ok❌ tool_error5107 ms
2026-10-15 13:26 UTC✅ ok❌ tool_error4227 ms
2026-10-15 06:45 UTC✅ ok❌ tool_error4418 ms
2026-10-15 00:10 UTC✅ ok❌ tool_error4491 ms
2026-10-14 17:45 UTC✅ ok❌ tool_error7497 ms
2026-10-14 11:15 UTC✅ ok❌ tool_error4524 ms
2026-10-14 04:46 UTC✅ ok❌ tool_error7552 ms
2026-10-13 22:01 UTC✅ ok❌ tool_error9290 ms
2026-10-13 15:55 UTC✅ ok❌ tool_error8856 ms
2026-10-13 09:46 UTC✅ ok❌ tool_error8611 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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Publisher of Tanod Images?

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Data in JSON: /api/catalog?id=dev.tanod/images · Stop probes: POST /api/reliability/opt-out

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