General Tools

zquas.ai

Provides keyword search, glossary lookup, and benchmark retrieval for the ZQUAS platform.

1 endpoint3 known toolsFirst detected May 10, 2026Last detected August 12, 2026

ENDPOINT 1

https://mcp.zquas.ai/mcp

No auth detected

MCP server metadata

Name: zquas-knowledge
Version: 1.0.0

Capabilities

resourcestoolsprompts

Server instructions

ZQUAS knowledge server. Public ZQUAS analysis, position papers, glossary, and benchmark facts. No customer or institution data. No live system state. Best uses: - "Explain ZQUAS to a Head of AML at a Tier-1 bank" (use the prompt) - "What does AMLR Article 75 require?" (use lookup_term then search_zquas) - "How does ZQUAS detect cross-bank patterns?" (resource:position-paper-article-75) - "What benchmark numbers does ZQUAS publish?" (tool:get_benchmark_numbers) Source of truth: every answer is grounded in https://zquas.ai. The search_zquas tool returns source URLs you should cite.

Known tools 3

search_zquas

Keyword search across all ZQUAS articles, position papers, glossary entries, and reference pages.

Inferred read-only

lookup_term

Exact lookup against the ZQUAS glossary.

Inferred read-only

get_benchmark_numbers

Returns the locked benchmark numbers ZQUAS publishes: throughput (CEPS), entity benchmark, alert lifecycle, federation timing, VRAM, test count, codebase size, and the regulatory deadline.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.zquas-knowledge]
url = "https://mcp.zquas.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "zquas-knowledge": {
      "type": "http",
      "url": "https://mcp.zquas.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: zquas-knowledge
Remote MCP URL: https://mcp.zquas.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "zquas-knowledge": {
      "url": "https://mcp.zquas.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "zquas-knowledge": {
      "type": "http",
      "url": "https://mcp.zquas.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "zquas-knowledge",
  "transport": "streamable-http",
  "url": "https://mcp.zquas.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for zquas.ai was fetched 2026-08-24T02:12:22.340Z and is being refreshed.

Trust status Trusted

zquas.ai is assessed as Trusted: Domain runs a meaningful technology spend, consistent with a real business.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.