Koskamo

Lanmao AI MCP

A read-only MCP server that provides machine-readable access to hand-verified free AI credits, free tiers, and subscription perks. It allows agents to list, search, and retrieve details about various AI offers, including quotas, requirements, and verification dates, supporting multiple languages and formats like JSON and Markdown.

Endpoint and access

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

Lanmao AI MCP logo, by Lanmao AINo sign-inEndpoint checked 2026-10-19Operated by Lanmao AI
MCP endpoint (Streamable HTTP)
https://lanmao.ai/mcp
Vendor documentation

What you can do with it

  • List available free AI credits and offers
  • Search for specific AI models or services with free tiers
  • Retrieve detailed information about a specific offer
  • Check recent changes to the list of AI credits
Tools advertised by the last live check:
  • list_offers
  • get_offer
  • search_offers
  • list_coding_clients
  • recent_changes

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 lanmao-ai-mcp https://lanmao.ai/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 lanmao-ai-mcp --url https://lanmao.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable lanmao-ai-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "lanmao-ai-mcp": {
      "url": "https://lanmao.ai/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": {
    "lanmao-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://lanmao.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

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

Ground your agent in cited data

Lanmao AI MCP gives your agent tools. Koskamo gives it reviewed, cited facts to check its answers against. Add it as a second MCP server; public reads need no API key.

Do you run Lanmao AI MCP?

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