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AI & Machine Learning

veriai.site

Cryptographically verifies and anchors AI-generated outputs to a public ledger for authenticity.

1 endpoint1 known toolsFirst detected July 1, 2026Last detected September 20, 2026

ENDPOINT 1

https://veriai.site/api/mcp

No auth detected

MCP server metadata

Name
VeriAI
Version
1.0.0
Capabilities
tools

Known tools 1

verify_ai_output

Verify and cryptographically anchor any AI-generated output to the VeriAI public ledger.

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.veriai]
url = "https://veriai.site/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "veriai": {
      "type": "http",
      "url": "https://veriai.site/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: veriai
Remote MCP URL: https://veriai.site/api/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": {
    "veriai": {
      "url": "https://veriai.site/api/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "veriai": {
      "type": "http",
      "url": "https://veriai.site/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "veriai",
  "transport": "streamable-http",
  "url": "https://veriai.site/api/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 veriai.site was fetched 2026-08-03T20:22:44.875Z and is being refreshed.

Trust status Neutral

veriai.site is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

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