Server data from the Official MCP Registry
Deterministic fact verification for AI agents — checksums & curated data, not guesses.
Deterministic fact verification for AI agents — checksums & curated data, not guesses.
Remote endpoints: streamable-http: https://qiniso.qinisolabs.workers.dev/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
33 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-qinisolabs-qiniso": {
"url": "https://qiniso.qinisolabs.workers.dev/mcp"
}
}
}From the project's GitHub README.
The deterministic fact-verification layer for AI agents: it checks the structured facts an agent emits (identifiers, locale, …) against authoritative ground truth by exact computation and curated data — not by asking another LLM.
Working name only. The public flagship name is not locked (see project notes: trademark clearance pending). Nothing here is published to npm yet.
packages/
identifiers/ # IBAN, card (Luhn+BIN), ISBN-13, VIN (migrated from veridigit)
qiniso/ # umbrella: aggregates all module tools into one MCP server
# - stdio server (local / npx / .mcpb)
# - Streamable HTTP server (Node host)
# - Cloudflare Worker entry (edge host)
Each module is a typed importable library and contributes tools to the umbrella MCP server.
npm install # install workspace deps
npm run build # tsc build every package
npm test # run parity tests
node packages/qiniso/dist/server.js
One shared core (pure functions in each module) feeds two transport adapters:
packages/qiniso/src/server.ts) — local users, npx, .mcpb desktop extension.packages/qiniso/src/http.ts + worker.ts) — hosted/remote
users across Claude web/desktop/mobile. No sessions, no auth (tools read no user data).See ../QINISO_BUILD_SEQUENCE.md for the full plan and parked launch steps.
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.