What are reliable alternatives to Zugabot?

Measured by Faceabot as working: Kimage, Private AI Media Generation, Run402.

How do I connect an AI agent to Zugabot?

Use the MCP streamable HTTP endpoint https://brain.zugabot.ai/mcp.

Faceabot

‹ Back

Catalog › io.github.Zuga-luga/Zugabot

Is Zugabot reliable?

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

Last check: 2026-10-07 05:20 UTC · answered in 2658 ms · remote (no install)

Proven alternatives that work right now

Kimage Reliable (measured) · 100%
Generate original images from text; prompts and results are content-checked. Paid per image, x402. · https://kimage.kaneky.dev/mcp

Private AI Media Generation Flaky · 93%
Paid AI image/video generation for agents — x402 USDC or API key, no account needed. · https://livepairai.com/mcp

Run402 Reliable (measured) · 100%
x402 pay-per-call infra for agents: $0.03 image generation, Postgres, auth, storage, functions. · https://mcp.run402.com/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

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

What it does

AI dev tools + image generation, paid per-use with USDC on Base (x402).

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "Zugabot": {
      "url": "https://brain.zugabot.ai/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Zuga-luga/Zugabot"} 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
2026-10-07 05:20 UTC	❌ gone		2658 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.

More from the same publisher

zugabot Being measured · 0% over 1 checks

Paid dev services for AI agents: code review, bug-fix, tests, docs, audits. USDC on Base x402.

MCP endpoint : https://brain.zugabot.ai/mcp/ · website · measurements and details

Find tools similar to Zugabot →

Publisher of Zugabot?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.Zuga-luga/Zugabot.svg)](https://faceabot.com/tools/io.github.Zuga-luga/Zugabot)

Data in JSON: /api/catalog?id=io.github.Zuga-luga/Zugabot · 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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