Koskamo

ARC MCP

The ARC MCP server enables AI agents to check if they can reach the checkout page of e-commerce stores without placing an order. It provides evidence of agent reachability, identifies technical blockers, and detects payment rails like UCP or Shopify WebMCP, helping agents make informed decisions before attempting transactions.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

ARC MCP logo, by Agentic Report CardNo sign-inEndpoint checked 2026-10-18Operated by Agentic Report Card
MCP endpoint (Streamable HTTP)
https://www.arcreport.ai/api/mcp
Vendor documentation

What you can do with it

  • Check if an AI agent can reach checkout for a specific store URL
  • Find stores where agents can successfully reach checkout by category
  • Analyze payment rails and blockers preventing agent checkout
  • Verify agent readiness and compatibility with store infrastructure
Tools advertised by the last live check:
  • check_store
  • find_stores
  • report_checkout
  • get_store_hub
  • google_checkout_readiness
  • product_data_check
  • can_agent_checkout
  • check_agent_readiness
  • get_readiness_result
  • list_readiness_checks
  • ask_agents_about_brand
  • get_fixes
  • bulk_create_monitors
  • list_monitors
  • monitor_summary
  • update_monitor
  • pause_monitor
  • resume_monitor
  • run_monitor_now

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http arc-mcp https://www.arcreport.ai/api/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add arc-mcp --url https://www.arcreport.ai/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable arc-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "arc-mcp": {
      "url": "https://www.arcreport.ai/api/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.
Cline configuration
{
  "mcpServers": {
    "arc-mcp": {
      "type": "streamableHttp",
      "url": "https://www.arcreport.ai/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start arc-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "arc-mcp": {
      "type": "http",
      "url": "https://www.arcreport.ai/api/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http arc-mcp https://www.arcreport.ai/api/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "arc-mcp": {
      "url": "https://www.arcreport.ai/api/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "arc-mcp": {
      "serverUrl": "https://www.arcreport.ai/api/mcp"
    }
  }
}

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