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General Tools

xtrust.info

Provides tools to look up and search for companies and post reviews on xtrust.info.

1 endpoint3 known toolsFirst detected July 13, 2026Last detected September 6, 2026

ENDPOINT 1

https://xtrust.info/mcp

No auth detected

MCP server metadata

Name
xtrust-mcp
Version
1.0
Capabilities
tools

Known tools 3

lookup_company

Look up a company on xtrust.info by slug or name.

Inferred read-only
search_companies

Search companies on xtrust.info by name prefix; optionally filter by city (Ukrainian).

Inferred read-only
post_review

Post a company review on behalf of the authenticated user.

Potential side effects

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.xtrust-mcp]
url = "https://xtrust.info/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "xtrust-mcp": {
      "type": "http",
      "url": "https://xtrust.info/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: xtrust-mcp
Remote MCP URL: https://xtrust.info/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": {
    "xtrust-mcp": {
      "url": "https://xtrust.info/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "xtrust-mcp": {
      "type": "http",
      "url": "https://xtrust.info/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "xtrust-mcp",
  "transport": "streamable-http",
  "url": "https://xtrust.info/mcp"
}
MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

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