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aiskills402.com

Rewrites AI-generated text to sound human, with options for long documents.

1 endpoint2 known toolsFirst detected August 17, 2026Last detected September 4, 2026

ENDPOINT 1

https://mcp.aiskills402.com/mcp

No auth detected

MCP server metadata

Name
aiskills402
Version
1.0.0
Capabilities
tools.listChanged

Known tools 2

search_skills

No description published.

Inferred read-only
get_skill

No description published.

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.aiskills402]
url = "https://mcp.aiskills402.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "aiskills402": {
      "type": "http",
      "url": "https://mcp.aiskills402.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: aiskills402
Remote MCP URL: https://mcp.aiskills402.com/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": {
    "aiskills402": {
      "url": "https://mcp.aiskills402.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "aiskills402": {
      "type": "http",
      "url": "https://mcp.aiskills402.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "aiskills402",
  "transport": "streamable-http",
  "url": "https://mcp.aiskills402.com/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 aiskills402.com was fetched 2026-08-23T14:43:55.853Z.

Trust status Neutral

aiskills402.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.