LINE OA MCP Ultimate

Operate your LINE Official Account from any AI agent — through natural language.

Quick Start · What you can do · Configuration · Documentation

What is this?

line-oa-mcp-ultimate is a Model Context Protocol server that lets AI agents drive your LINE Official Account through natural conversation — no code, no API knowledge required.

Manage one OA or many — a single account needs just one env var, while agencies can register every client OA in one config file and switch between them with a single command (see Configuration).

It works with Claude Cowork, Claude Code, Cursor, Codex, ChatGPT desktop, OpenClaw, Hermes, or any MCP-compatible host.

Disclaimer: This is an independent open-source project. It is not affiliated with or endorsed by LY Corporation / LINE Corp. "LINE" is a registered trademark of LY Corporation, used here in a descriptive sense.

Why use it?

LINE OA Manager works well — but it's a web UI you have to log into, click through, and operate manually. With this MCP server, the same operations become natural-language requests in your AI host of choice:

| Instead of clicking through LINE OA Manager... | Just say... | |---|---| | Open broadcast composer → pick audience → write text → preview → schedule | "Send a Mother's Day promo to my Bangkok-based 25-44 female audience" | | Navigate Insight → Delivery → pick date range → screenshot | "Summarize last week's performance" | | Open Audience → create from upload → upload CSV → wait | "Create an audience from this CSV: customers_last_month.csv" | | Open Rich Menu → design tabs → upload images → set as default | "Build a Mother's Day rich menu and set it as default" | | Open Coupon → check usage tab → cross-reference clicks | "How many people redeemed my Mother's Day coupon?" |

The MCP server takes care of LINE Messaging API calls, pre-flight validation, quota safety, quiet-hour warnings, and Thai-localized templates. You stay in your AI host and operate your OA the way you think about it — by intent.

Who is it for?

• 🪐 AI-first marketers who run a LINE OA from their AI workspace.
• 🏪 SMB owners who already use LINE OA as their primary customer channel and want to automate routine work.
• 🏢 Marketing agencies managing many client OAs from one dashboard.
• 💻 Developers building LINE-integrated SaaS, automations, or AI bots.

Free-tier ready — no Premium upgrade required for the core feature set.

What you can do

34 tools + 4 resources + 7 guided prompts, grouped by what you actually want to do:

📨 Send messages (2 tools)

One universal send_message covers every LINE transport (reply / push / multicast / narrowcast / broadcast). Three modes: send_now, draft (for scheduling via LINE OA Manager UI), and dry_run (validate + estimate cost without sending). Message shapes: text, Flex (template or raw JSON), sticker, image, video, native LINE coupon ({ coupon_id }), and a message_json passthrough for pre-built Rich/Card messages. Plus Thai-friendly sticker search.

🎨 Rich Menus (8 tools)

Build a rich menu in one call (create + upload image + set as default), list, delete, and diagnose "why doesn't this user see my menu?". Full lifecycle too: link/unlink a menu to specific users or in bulk (auto-chunked at 500), set/clear the account default, manage rich-menu aliases (tab-switching menus), and swap the image on an existing menu.

💎 Message Design (3 tools)

Design Flex Messages from 8 Thai-localized templates or raw JSON, build Rich Messages (imagemap — tappable image regions + optional video), and Card Messages (template — buttons / confirm / carousel / image_carousel). Each returns ready-to-send JSON you hand to send_message.

🎯 Audiences (5 tools)

Build retargeting audiences from a CSV or from prior broadcast engagement, list, delete — and update an existing audience (add users, rename).

📊 Insights (5 tools)

Quick OA status snapshot (incl. chat mode), weekly markdown reports, per-broadcast engagement stats, pre-flight send-cost estimation, and narrowcast delivery progress ("did my blast finish?").

🎟 Coupons (2 tools)

Create, list, get, and discontinue native LINE coupons with line_manage_coupon, then broadcast a created coupon straight into chats as a native coupon message via send_message ({ coupon_id }). Pull redemption analytics by combining coupon details with click-audience tracking.

🔌 Webhook (2 tools)

Test your OA's webhook URL and surface LINE's signature verification result, plus set/get the webhook endpoint — quick to wire up or diagnose "why isn't my bot responding?".

👤 Operations (5 tools)

User profile lookup, follower listing, multi-OA listing and switching, and run_on_many_oas for agencies that need to run a read-only tool across all client OAs in parallel.

💻 LIFF & Token (2 tools)

Manage LIFF app lifecycle (create / update / delete / list) and verify your channel access token's validity, expiry, and scope.

Resources — auto-refreshing OA snapshot, Flex template catalog, sticker catalog with mood-keyword index, and a Thai festival calendar with marketing promo patterns.

Prompts — guided workflows for daily reports, campaign building, broadcast scheduling, rich menu diagnosis, coupon campaigns, LINE Notify migration, and webhook setup.

Quick Start

Requirements

• Node.js 20 or later
• A LINE Official Account with Messaging API enabled
• A Channel Access Token

No database, no Playwright, no CDN, no public URL, no scheduler infrastructure required.

Step 1 — Get your Channel Access Token

1. Open the LINE Developers Console.
2. Pick your provider → open (or create) a Messaging API channel.
3. Open the Messaging API tab → scroll to Channel access token → click Issue.
4. Copy the long-lived token. Treat it like a password.

If you don't yet have a LINE Official Account, follow LINE's getting started guide.

Step 2 — Add the MCP server to your AI host

Paste the following block into your host's MCP config file (see table below):

{
  "mcpServers": {
    "line": {
      "command": "npx",
      "args": ["-y", "line-oa-mcp-ultimate"],
      "env": {
        "LINE_CHANNEL_ACCESS_TOKEN": "YOUR_TOKEN_HERE"
      }
    }
  }
}

Where to find the config file:

| Host | Where to add it | |---|---| | Claude Cowork | Settings → Developer → Local MCP servers → Edit Config | | Claude Desktop (macOS) | ~/Library/Application Support/Claude/claude_desktop_config.json | | Claude Desktop (Windows) | %APPDATA%\Claude\claude_desktop_config.json | | Claude Code | Run claude mcp add line or edit ~/.config/claude/mcp.json | | Cursor / Codex / ChatGPT desktop | See your host's MCP setup docs — same JSON shape |

⚠️ Don't replace existing MCP servers. Add the "line" entry alongside any existing entries inside mcpServers.

Step 3 — Restart your AI host

Quit completely (Cmd+Q on macOS) and reopen. On first start the host runs npx -y line-oa-mcp-ultimate, downloads the package from npm, and caches it for subsequent starts.

Step 4 — Verify

In a new chat, try:

Show my LINE OA status

or in Thai:

ดูสถานะ OA หน่อย

You should see a health card with friend count, monthly quota, webhook status, and the default rich menu. That's it — you're now operating your LINE OA from your AI agent.

Configuration

Single-OA mode (default — for most users)

That's the Step 2 snippet above. One environment variable, one OA. Suitable for individual creators, course makers, and most SMB owners.

Multi-OA mode (for agencies)

If you manage several LINE OAs (your own plus client accounts), create a JSON config file at ~/.line-mcp/config.json — the server auto-discovers it, so there's nothing to clone or build:

mkdir -p ~/.line-mcp
nano ~/.line-mcp/config.json     # or: code ~/.line-mcp/config.json

📘 Full walkthrough (two placement options + security notes) in docs/multi-oa-setup-th.md. A ready-to-edit template lives in config.example.json.

Fill in one entry per OA:

{
  "default_oa": "main",
  "oas": {
    "main": {
      "channel_access_token": "TOKEN_1",
      "display_name": "Main OA",
      "region": "TH"
    },
    "client_a": {
      "channel_access_token": "TOKEN_2",
      "display_name": "Client A — Bangkok Cafe"
    }
  }
}

Then drop the LINE_CHANNEL_ACCESS_TOKEN env var from your MCP config — the server discovers ~/.line-mcp/config.json automatically.

Resolution order:

1. LINE_MCP_CONFIG env var (custom path)
2. ~/.line-mcp/config.json
3. LINE_CHANNEL_ACCESS_TOKEN env var (single-OA fallback)

Switching the active OA at runtime

Ask your AI host:

"Switch to client_a"
→ line_use_oa({ oa_id: "client_a" })

Or override per-call with the oa parameter on any tool.

Advanced — HTTP transport (self-hosted)

For agencies running a shared remote instance, the server also supports Streamable HTTP. See docs/http-transport.md.

Documentation

| Doc | What's in it | |---|---| | docs/quickstart-th.md | Thai-language quick start (5-minute walkthrough) | | docs/multi-oa-setup-th.md | Multi-OA configuration guide (Thai) | | docs/http-transport.md | Streamable HTTP transport for self-hosted / remote use | | examples/ | Runnable examples |

Versioning

This project follows Semantic Versioning. Current release: v1.1.0.

Latest changes (v1.1.0): +10 tools completing LINE's token-only API surface — rich-menu lifecycle (per-user link/unlink, set/clear default, aliases, image swap), Rich Message (imagemap) and Card Message (template) builders, audience update, webhook set/get, narrowcast progress, and token check. send_message gained image / video / pre-built message_json shapes; get_oa_status now reports chat mode. Four real-time/codegen tools that don't fit an AI-agent workflow (loading indicator, account-link token, LIFF/Login code generators) were removed. See RELEASE_NOTES_v1.1.0.md.

Roadmap

• v1.x — Full token-only Messaging API coverage: outbound + rich-menu lifecycle + Rich/Card message builders + audiences + insights + coupons (current).
• v2.x — LINE Shopping API integration (under research) — bring shop catalog, products, and commerce flows into the same AI-agent workflow.
• Hosted SaaS — agency multi-tenant use.

Contributing

PRs are welcome. Please open an issue first to discuss substantial changes.

When contributing:

• Tool names: line_{action}_{resource} (snake_case, prefix line_).
• Tool descriptions: English (for LLMs) — Thai examples encouraged.
• User-facing strings: Thai-friendly (centralized in src/i18n/th.ts).
• Pre-flight validation on every send tool.
• Quota Guardian + Quiet Hours on every consumption tool.

Author

Dr. Wasin Treesinthuros (พี่โต / Dr. Wasin / #จารโต)

• CEO at Innovation Vantage
• Founder at ForgeAI — AI Transformation Studio
• LINE Certified Coach 2026
• AI Transformation educator, SaaS builder, university lecturer

This project is part of a broader mission to bring production-grade AI automation to every Thai practitioner — regardless of technical background.

GitHub: @wasintoh

License

MIT © Dr. Wasin Treesinthuros — Innovation Vantage / ForgeAI