Synthetic Data — Random User MCP server
online · 100% uptimeGenerate synthetic random user data for testing, demos, and development without using real persona.
4 stars
Reviews
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Synthetic Data — Random User tools
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Public scan report
scanner v0.1.10 · 2026-11-04 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 634ms (auth required)20/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityOAuth resource metadata advertised on 40115/15
- Maintenancelast push 6 days ago15/15
- Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace8/10
How Synthetic Data — Random User compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 97/100
- higher than 98% of 48,255 servers
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 381 ms
- faster than 39% of 30,031 servers
- GitHub stars
- 4
- more than 82% of 28,688 servers
Release history: 2 versions in the registry since 2026-08-12, latest 2026-10-21, typically one every 70 days.
Install Synthetic Data — Random User in Claude Code, Cursor or VS Code
claude mcp add --transport http synthetic-data-random-user https://synthetic-mint-mcp.saifs.ai/mcp
What the publisher says
From the Synthetic Data — Random User repository's README, as published. We do not edit it. Read it on GitHub
SAIFS AI — MCP servers
Hosted Model Context Protocol servers from SAIFS AI for sales, inventory, marketing, HR, education, logistics, collections, procurement, finance, operations, media generation and travel. Every server is remote (Streamable HTTP) with OAuth 2.1 sign-in, so there is nothing to install — add the URL to any MCP client.
All servers are published in the official MCP Registry under the DNS-verified ai.saifs namespace.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Grade history
- 2026-11-04restoreB → Ascore 97
Synthetic Data — Random User: common questions
- Is Synthetic Data — Random User MCP server safe?
- Yes, by our scan: it is graded A (97/100). Read the Synthetic Data — Random User safety report
- How do I install Synthetic Data — Random User?
- It runs remotely at synthetic-mint-mcp.saifs.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Synthetic Data — Random User need an API key?
- No key to paste: it signs you in with OAuth when your client connects.
- Is Synthetic Data — Random User maintained?
- The last commit was 6 days ago (2026-10-29). The latest release is v1.0.1.
- Is Synthetic Data — Random User up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Synthetic Data — Random User?
- Servers from other publishers that do the same job: Mobile MCP server and Keploy MCP server.
- How does Synthetic Data — Random User compare with other MCP servers?
- safety score 97/100 (higher than 98% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 381 ms (faster than 39% of 30,031 servers). Full comparison.
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