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aivisis.com

Provides tools to assess a website's AI search engine visibility and GEO readiness score, along with user authentication for the platform.

WebMCP1 endpoint2 known toolsFirst detected September 9, 2026Last detected September 9, 2026

ENDPOINT 1

https://aivisis.com

No auth detected

MCP server metadata

Name
WebMCP
Capabilities
declarative

Known tools 2

check_ai_visibility

Query the AI search engine visibility and GEO readiness score of any website domain

Inferred read-only
authenticate_user

Log into an existing account or start registration on the platform

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.webmcp]
url = "https://aivisis.com"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "webmcp": {
      "type": "http",
      "url": "https://aivisis.com"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: webmcp
Remote MCP URL: https://aivisis.com

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": {
    "webmcp": {
      "url": "https://aivisis.com"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "webmcp": {
      "type": "http",
      "url": "https://aivisis.com"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "webmcp",
  "transport": "streamable-http",
  "url": "https://aivisis.com"
}
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 aivisis.com was fetched 2026-09-15T07:19:19.719Z.

Trust status Neutral

aivisis.com 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.