How do I connect an AI agent to Fair Random?

Use the MCP streamable HTTP endpoint https://tools.intoperson.com/mcp/random.

Catalog › com.intoperson.tools/fair-random

Is Fair Random reliable?

Reliable (measured) Yes. Faceabot measured Fair Random 8 times: 100% of checks succeeded, including the last 8 in a row (last check 2026-10-19 09:55 UTC). It also does the job: its real read-only task worked 8 of 8 times.

Last check: 2026-10-19 09:55 UTC · answered in 6334 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

Fair, reproducible randomness for agents: dice, coins, integers, list picks, shuffles, with seeds.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "fair-random": {
      "url": "https://tools.intoperson.com/mcp/random"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.intoperson.tools/fair-random"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked flip_coin to do a small read-only task 8 time(s): 8 returned a real result, the last 8 in a row. Last result: ok in 2729 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

When	Answers	Real task	Latency
2026-10-19 09:55 UTC	✅ ok	✅ done	6334 ms
2026-10-18 17:01 UTC	✅ ok	✅ done	8238 ms
2026-10-18 05:30 UTC	✅ ok	✅ done	8896 ms
2026-10-17 21:35 UTC	✅ ok	✅ done	5838 ms
2026-10-17 13:05 UTC	✅ ok	✅ done	7211 ms
2026-10-17 05:25 UTC	✅ ok	✅ done	6125 ms
2026-10-16 21:40 UTC	✅ ok	✅ done	5332 ms
2026-10-16 14:30 UTC	✅ ok	✅ done	6107 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

Lottery Numbers Reliable (measured) · 100% over 8 checks Fails real tasks · 0/8

Lottery picks in any format (Lotto 6/45, Powerball, Mega Millions...), past draws, ticket check.

MCP endpoint : https://tools.intoperson.com/mcp/lottery · website · measurements and details

Find tools similar to Fair Random →

Publisher of Fair Random?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.intoperson.tools/fair-random.svg)](https://faceabot.com/tools/com.intoperson.tools/fair-random)

Data in JSON: /api/catalog?id=com.intoperson.tools/fair-random · 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

Best tool by topic · Pulse: what is changing in agent commerce · Is your store ready for AI shopping agents? · State of MCP (weekly) · MCP server doctor · Reliability data · Faceabot app · Faceabot → AI assistants · What AI agents cannot find yet · Add Faceabot to your AI · Badge for tool publishers · Help · Privacy · Terms