
Synthetic Data — Random User
ai.saifsPublished by saifs.aiOfficial publisherv1.0.1Updated Oct 27, 2026
Generate synthetic random user data for testing, demos, and development without using real persona.
The publisher's own server: Customer Intelligence & Segmentation
Overview
Remote MCP server that generates fake but realistic user profiles for demos, QA fixtures and prototyping.
- What you can do
- Generate synthetic user profiles in a requested quantity
- Each profile includes name, gender, location, email, login, date of birth, phone, picture and nationality
- Produce placeholder people for UI mockups, contact screens and test data
- When to use it
- Use it when you need realistic-looking but non-real people to fill demo screens, QA fixtures, mockups or prototypes without copying real personal data.
- Requirements
- A remote Streamable HTTP endpoint; nothing to install. OAuth 2.1 sign-in (PKCE with dynamic client registration) is required, so an OAuth-aware MCP client that can open a sign-in page on first use is needed.
Installation
In SourceWeft
- Open Synthetic Data — Random User in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/ai.saifs%2Fsynthetic-data-random-user/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"synthetic-data-random-user": {
"type": "http",
"url": "https://synthetic-mint-mcp.saifs.ai/mcp"
}
}
}README
Synthetic Data — Random User
Generates fake but realistic user profiles — name, gender, location, email, login, date of birth, phone, picture and nationality — for demos, UI fixtures, QA and prototyping, so teams never need to copy real personal data.
Install
VS Code / GitHub Copilot
Add to .vscode/mcp.json (workspace) or your user mcp.json:
Then start the server from the MCP view and sign in when prompted.
Claude (claude.ai, Desktop)
Settings → Connectors → Add custom connector, and paste:
Claude Code
Any other MCP client
Point it at https://synthetic-mint-mcp.saifs.ai/mcp using the Streamable HTTP transport. The server returns 401 with a
WWW-Authenticate: Bearer … resource_metadata=… challenge, so OAuth-aware clients sign in automatically.
Tools
Example prompts
- “Give me 20 random users to fill our contacts demo screen.”
- “Generate 5 test profiles with emails and phone numbers for our QA fixtures.”
- “I need placeholder avatars and names for a team directory mockup.”
Support
- Website: https://saifs.ai
- Issues: https://github.com/Saify-Technologies/saifs-ai-mcps-docs/issues
- Privacy: https://saifs.ai/privacy_policy
Source: servers/synthetic-data-random-user/README.md at commit 2b4eab8
Tools
0Version history
2- v1.0.1LatestOct 21, 2026
- v1.0.0Sep 16, 2026
Score
85% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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