How to Connect LINE Messaging API to Gemini — via MCP

💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → LINE Messaging API, paste your credentials, mint an MCP API key — done. No Docker, no git clone, no local server.

LINE Messaging API + Gemini

Send push, reply and broadcast messages from a LINE Official Account — LINE is the dominant chat platform in Japan, Taiwan and Thailand. Free tier of 500 push messages per month, unlimited reply messages, channel access tokens require no KYC.

Prerequisites

See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:

LINE_CHANNEL_ACCESS_TOKEN

Step 1 — Get credentials

Creating a channel: log in to https://developers.line.biz/console → create a Provider → 'Create a new channel' → 'Messaging API'. Set up the LINE Official Account (auto-created with the channel), then under the channel's 'Messaging API' tab, scroll to 'Channel access token' → 'Issue' a long-lived token. Paste it as LINE_CHANNEL_ACCESS_TOKEN.

Authentication: Bearer Token (the channel access token). Note: this token belongs to the channel, not to a user — anyone with the token can post as that Official Account, so keep it secret.

…(continued in the in-app connector instructions)

Step 2 — Install the adapter

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

Step 3 — Add the connector in Gemini

Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
    }
  }
}

1. Get your MCP API key from AnythingMCP → Profile → MCP API Keys → New Key.
2. Save the file and restart gemini.
3. Run /mcp inside the Gemini CLI — LINE Messaging API should be listed as available.
4. Vertex AI Studio: pass https://cloud.anythingmcp.com/mcp to the tools array of your request with the same Bearer header.

Available tools

FAQ

Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with Bearer headers.

Next steps

• Connector landing page
• Connect to Claude
• Connect to ChatGPT
• Connect to Cursor