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Content Tools

customer2.ai

Searches published Customer2.AI blog posts and marketing pages for full-text queries.

1 endpoint1 known toolsFirst detected August 9, 2026Last detected August 9, 2026

ENDPOINT 1

https://customer2.ai/mcp/c2ai

No auth detected

MCP server metadata

Name
Customer2.AI
Version
1.0.0
Capabilities
toolsresourcesprompts

Known tools 1

search_website

Full-text search over PUBLISHED Customer2.AI blog posts and marketing/help pages.

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.customer2-ai]
url = "https://customer2.ai/mcp/c2ai"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "customer2-ai": {
      "type": "http",
      "url": "https://customer2.ai/mcp/c2ai"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: customer2-ai
Remote MCP URL: https://customer2.ai/mcp/c2ai

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": {
    "customer2-ai": {
      "url": "https://customer2.ai/mcp/c2ai"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "customer2-ai": {
      "type": "http",
      "url": "https://customer2.ai/mcp/c2ai"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "customer2-ai",
  "transport": "streamable-http",
  "url": "https://customer2.ai/mcp/c2ai"
}
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 customer2.ai was fetched 2026-08-13T03:12:13.919Z.

Trust status Trusted

customer2.ai is assessed as Trusted: Domain has an established technology history spanning over a year.

Indexed

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