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LINE Bot MCP Server

Official LINE MCP server that connects Claude and other AI agents to the LINE Messaging API for push messages, broadcasts, profile lookup, quotas, follower IDs, and rich-menu management.

by LINE · submitted by oktofeesh1·added 2026-06-06·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://raw.githubusercontent.com/line/line-bot-mcp-server/main/README.md, https://github.com/line/line-bot-mcp-server
Brand
LINE Bot MCP Server
Brand domain
line.me
Brand asset source
brandfetch
Safety notes
LINE Bot MCP Server can push text and flex messages to users, broadcast messages to all followers, retrieve follower IDs, inspect profiles, check message quotas, create rich menus, set default rich menus, cancel defaults, and delete rich menus., Broadcast and rich-menu tools can affect every user following the connected LINE Official Account, so require human approval before running them in production., Push-message tools can contact individual users directly; confirm the target `userId`, message body, and account context before sending., Rich-menu tools can upload generated menu images and change user-facing navigation for the account., Use least-privilege channel tokens where possible, keep test and production LINE accounts separate, and monitor quota consumption., The upstream README marks the project as a preview version for experimental use with potentially incomplete functionality or support.
Privacy notes
Channel access tokens, destination user IDs, follower IDs, profile display names, profile picture URLs, status messages, language, message contents, flex-message JSON, and rich-menu IDs can be exposed to the MCP client., Broadcast prompts, generated messages, user IDs, and profile results may be retained in MCP client logs, terminal history, model context, or chat transcripts., Treat LINE Official Account credentials and recipient identifiers as secrets, and avoid pasting real tokens or user IDs into shared logs., Review LINE platform policies and internal consent requirements before retrieving follower IDs or using AI-generated outbound messages.
Author
LINE
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-06

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

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    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

15 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

5 prerequisites to line up before setup. Have accounts and credentials ready first.

0/5 ready
Account & credentials3Install & runtime1General115 minutes

Safety & privacy surface

Safety & privacy surface

6 safety and 4 privacy notes across 5 risk areas. Review closely: credentials & tokens, network access.

5 areas
  • SafetyLocal filesLINE Bot MCP Server can push text and flex messages to users, broadcast messages to all followers, retrieve follower IDs, inspect profiles, check message quotas, create rich menus, set default rich menus, cancel defaults, and delete rich menus.
  • SafetyExecution & processesBroadcast and rich-menu tools can affect every user following the connected LINE Official Account, so require human approval before running them in production.
  • SafetyGeneralPush-message tools can contact individual users directly; confirm the target `userId`, message body, and account context before sending.
  • SafetyNetwork accessRich-menu tools can upload generated menu images and change user-facing navigation for the account.
  • SafetyCredentials & tokensUse least-privilege channel tokens where possible, keep test and production LINE accounts separate, and monitor quota consumption.
  • SafetyGeneralThe upstream README marks the project as a preview version for experimental use with potentially incomplete functionality or support.
  • PrivacyCredentials & tokensChannel access tokens, destination user IDs, follower IDs, profile display names, profile picture URLs, status messages, language, message contents, flex-message JSON, and rich-menu IDs can be exposed to the MCP client.
  • PrivacyLocal filesBroadcast prompts, generated messages, user IDs, and profile results may be retained in MCP client logs, terminal history, model context, or chat transcripts.
  • PrivacyCredentials & tokensTreat LINE Official Account credentials and recipient identifiers as secrets, and avoid pasting real tokens or user IDs into shared logs.
  • PrivacyNetwork accessReview LINE platform policies and internal consent requirements before retrieving follower IDs or using AI-generated outbound messages.

Disclosure: Official preview MCP server from LINE, published as the `@line/line-bot-mcp-server` npm package under Apache-2.0.

Safety notes

  • LINE Bot MCP Server can push text and flex messages to users, broadcast messages to all followers, retrieve follower IDs, inspect profiles, check message quotas, create rich menus, set default rich menus, cancel defaults, and delete rich menus.
  • Broadcast and rich-menu tools can affect every user following the connected LINE Official Account, so require human approval before running them in production.
  • Push-message tools can contact individual users directly; confirm the target `userId`, message body, and account context before sending.
  • Rich-menu tools can upload generated menu images and change user-facing navigation for the account.
  • Use least-privilege channel tokens where possible, keep test and production LINE accounts separate, and monitor quota consumption.
  • The upstream README marks the project as a preview version for experimental use with potentially incomplete functionality or support.

Privacy notes

  • Channel access tokens, destination user IDs, follower IDs, profile display names, profile picture URLs, status messages, language, message contents, flex-message JSON, and rich-menu IDs can be exposed to the MCP client.
  • Broadcast prompts, generated messages, user IDs, and profile results may be retained in MCP client logs, terminal history, model context, or chat transcripts.
  • Treat LINE Official Account credentials and recipient identifiers as secrets, and avoid pasting real tokens or user IDs into shared logs.
  • Review LINE platform policies and internal consent requirements before retrieving follower IDs or using AI-generated outbound messages.

Prerequisites

  • Node.js 22 or newer for the published npm package.
  • A LINE Official Account with the Messaging API enabled.
  • A LINE channel access token with the permissions needed for the intended tools.
  • A destination user ID when using the default recipient flow for push-message tools.
  • Review of broadcast recipients, rich-menu changes, quota limits, and account policies before enabling autonomous use.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
15 minutes
Difficulty
intermediate
Tool listing metadata
Disclosure
Official preview MCP server from LINE, published as the `@line/line-bot-mcp-server` npm package under Apache-2.0.
Full copyable content
{
  "mcpServers": {
    "line-bot": {
      "command": "npx",
      "args": ["-y", "@line/line-bot-mcp-server"],
      "env": {
        "NPM_CONFIG_IGNORE_SCRIPTS": "true",
        "CHANNEL_ACCESS_TOKEN": "YOUR_CHANNEL_ACCESS_TOKEN",
        "DESTINATION_USER_ID": "OPTIONAL_DEFAULT_USER_ID"
      }
    }
  }
}

About this resource

Content

LINE Bot MCP Server is LINE's MCP server for connecting AI agents to a LINE Official Account through the LINE Messaging API. It exposes tools for sending messages, broadcasting to followers, reading profile and quota information, listing follower IDs, and managing rich menus.

Use it when Claude needs to assist with supervised LINE Official Account operations such as drafting test messages, checking quotas, preparing rich menu updates, or retrieving account context during support and marketing workflows.

Source Review

These sources were reviewed on 2026-06-06. Prefer the live repository, README, npm registry metadata, license, package manifest, MCP manifest, Docker setup, server entrypoint, and push and broadcast tool implementations for current setup and behavior details.

Features

  • Push text messages to a LINE user.
  • Push flex messages with custom layout JSON.
  • Broadcast text or flex messages to users who follow the LINE Official Account.
  • Retrieve LINE user profile details.
  • Check monthly message quota and consumption.
  • List rich menus associated with the account.
  • Create, set, cancel, and delete default rich menus.
  • Retrieve follower user IDs with pagination.
  • Run through the published npm package or a locally built Docker image.

Installation

Create or configure a LINE Official Account, enable the Messaging API, and create a channel access token. Then configure an MCP client with the npm package:

{
  "mcpServers": {
    "line-bot": {
      "command": "npx",
      "args": ["-y", "@line/line-bot-mcp-server"],
      "env": {
        "NPM_CONFIG_IGNORE_SCRIPTS": "true",
        "CHANNEL_ACCESS_TOKEN": "YOUR_CHANNEL_ACCESS_TOKEN",
        "DESTINATION_USER_ID": "OPTIONAL_DEFAULT_USER_ID"
      }
    }
  }
}

Claude Code users can add it with:

claude mcp add line-bot --env CHANNEL_ACCESS_TOKEN=YOUR_CHANNEL_ACCESS_TOKEN -- npx -y @line/line-bot-mcp-server

Add DESTINATION_USER_ID when you want push-message tools to default to a specific test user.

Use Cases

  • Draft and send a supervised test message to a LINE user.
  • Prepare a flex message payload for a campaign or support workflow.
  • Check message quota before a broadcast.
  • Retrieve profile context for a known LINE user ID.
  • List follower IDs for an approved operational workflow.
  • Create and test a rich menu before making it the default.
  • Inspect existing rich menus and remove obsolete ones.

Safety and Privacy

LINE Bot MCP Server can send real messages and update real account surfaces. Keep production tokens out of test clients, require review before broadcasts or rich-menu changes, and verify the target account and recipient IDs before any send operation.

Follower IDs, profile data, message contents, flex-message JSON, rich-menu configuration, and channel tokens are sensitive. Treat MCP transcripts and logs as account records, and avoid using real users for prompt experiments unless the workflow has explicit approval.

The upstream README identifies the project as a preview release, so test against a non-production LINE Official Account before connecting it to customer-facing operations.

Duplicate Check

Existing MCP entries cover customer support, communications, and automation tools, but no LINE Bot MCP Server, line/line-bot-mcp-server, @line/line-bot-mcp-server, or LINE Messaging API MCP entry was found in content/mcp.

Source citations

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How it compares

LINE Bot MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field

Official LINE MCP server that connects Claude and other AI agents to the LINE Messaging API for push messages, broadcasts, profile lookup, quotas, follower IDs, and rich-menu management.

Open dossier

Apache-licensed TypeScript MCP server for Obsidian vaults with stdio and Streamable HTTP transports, Local REST API access, note search, section-aware edits, tag/frontmatter management, path policies, and read-only controls.

Open dossier

MCP server for Todoist task and project management, with tools for tasks, subtasks, projects, sections, labels, comments, reminders, filters, activity, backups, collaboration, bulk operations, and dry-run testing.

Open dossier

Official Agentset MCP server that lets Claude retrieve cited knowledge-base results from an Agentset namespace through the `knowledge-base-retrieve` tool, with optional tenant scoping and custom tool descriptions.

Open dossier
Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
Submitteroktofeesh1oktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandLINE Bot MCP Server logoLINE Bot MCP ServerTodoist MCP Server logoTodoist MCP ServerAgentset logoAgentset
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorLINEcyanheadsgreirsonAgentset
Added2026-06-062026-06-062026-06-062026-06-06
Platforms
Harness
Source repo
Safety notesLINE Bot MCP Server can push text and flex messages to users, broadcast messages to all followers, retrieve follower IDs, inspect profiles, check message quotas, create rich menus, set default rich menus, cancel defaults, and delete rich menus. Broadcast and rich-menu tools can affect every user following the connected LINE Official Account, so require human approval before running them in production. Push-message tools can contact individual users directly; confirm the target `userId`, message body, and account context before sending. Rich-menu tools can upload generated menu images and change user-facing navigation for the account. Use least-privilege channel tokens where possible, keep test and production LINE accounts separate, and monitor quota consumption. The upstream README marks the project as a preview version for experimental use with potentially incomplete functionality or support.Cyanheads Obsidian MCP can read, list, search, create, append, patch, replace, delete, tag, and edit frontmatter in the configured vault through the Local REST API plugin. The server defaults to full-vault access unless read paths, write paths, or read-only mode are configured. Set `OBSIDIAN_READ_ONLY=true` for research-only workflows, then narrow writes with `OBSIDIAN_WRITE_PATHS` before allowing note edits. Delete operations are permanent in the vault and should require human review even when the MCP host supports destructive-tool prompts. Command-palette tools are disabled unless `OBSIDIAN_ENABLE_COMMANDS=true`; command execution can trigger opaque or destructive Obsidian plugin behavior. Streamable HTTP deployments should use JWT or OAuth auth before being exposed beyond a trusted local machine.Todoist MCP Server can create, update, delete, complete, reopen, reorder, archive, and bulk-modify tasks, subtasks, projects, sections, labels, comments, reminders, filters, shared labels, and collaboration state. Bulk create, bulk update, bulk delete, bulk complete, project deletion, section deletion, label deletion, reminder changes, and duplicate merge operations can alter many Todoist records at once. Dry-run mode simulates mutation operations but still queries real Todoist data for validation. Pro and Business features such as reminders, filters, shared labels, collaboration, backups, and workspace operations may expose or modify team data. Require confirmation before deleting tasks or projects, changing due dates in bulk, completing groups of tasks, modifying shared projects, creating reminders, downloading backups, or changing collaboration state.The MCP server sends Claude's retrieval queries to the Agentset API using the configured API key and namespace. The `knowledge-base-retrieve` tool can return up to 100 results per call and can rerank results by relevance. Namespace and tenant selection control which indexed documents are searchable; review them before connecting a shared agent. API keys should be scoped, rotated, and stored only in the MCP server environment or a secret manager. Custom tool descriptions can influence when the model calls the retrieval tool, so review them before use in production workflows.
Privacy notesChannel access tokens, destination user IDs, follower IDs, profile display names, profile picture URLs, status messages, language, message contents, flex-message JSON, and rich-menu IDs can be exposed to the MCP client. Broadcast prompts, generated messages, user IDs, and profile results may be retained in MCP client logs, terminal history, model context, or chat transcripts. Treat LINE Official Account credentials and recipient identifiers as secrets, and avoid pasting real tokens or user IDs into shared logs. Review LINE platform policies and internal consent requirements before retrieving follower IDs or using AI-generated outbound messages.Vault notes, headings, block references, frontmatter, tags, file metadata, outgoing links, search queries, command names, plugin status, and edit history may be exposed to the MCP client and model provider. API keys, local plugin endpoints, HTTP auth settings, path allowlists, logs, OpenTelemetry traces, and Docker environment variables can reveal private vault structure or credentials. Tag listing is vault-wide in upstream behavior and can reveal tag names outside narrowed read paths. Notes may contain personal journals, client work, credentials, meeting notes, research plans, health data, or other sensitive knowledge-base content.Todoist API tokens, task IDs, project IDs, section IDs, label IDs, reminder IDs, comment IDs, user IDs, collaborator details, activity logs, completed tasks, backups, and productivity statistics can be exposed to the MCP client. Task names, descriptions, comments, due dates, deadlines, labels, reminders, attachments, project notes, and completed-task history can contain private work or personal planning data. Bulk and filter tools may reveal larger slices of a Todoist workspace than a single-task request. Backup download tools can expose a broad historical snapshot of Todoist data. Keep Todoist tokens in local MCP configuration only, and avoid sharing MCP logs, dry-run traces, or transcripts that include private task or project data.Retrieved chunks can include private documents, product specs, policies, support content, internal procedures, historical project information, or customer-specific data. Retrieval queries, namespace IDs, tenant IDs, document chunks, citations, and tool outputs may be visible to the MCP client, model provider, Agentset logs, and application telemetry. Tenant IDs are useful for data segregation, but incorrect tenant or namespace configuration can expose the wrong knowledge base. Do not paste API keys, namespace IDs, tenant IDs, or retrieved private chunks into shared issue reports, screenshots, or repository files.
Prerequisites
  • Node.js 22 or newer for the published npm package.
  • A LINE Official Account with the Messaging API enabled.
  • A LINE channel access token with the permissions needed for the intended tools.
  • A destination user ID when using the default recipient flow for push-message tools.
  • Node.js 24 or newer, or Bun 1.3.11 or newer.
  • Obsidian vault with the Obsidian Local REST API community plugin enabled.
  • Local REST API key stored in the MCP client environment.
  • Stdio MCP client, or reviewed Streamable HTTP deployment with authentication.
  • Todoist API token from Todoist integrations developer settings.
  • Node.js 18 or newer for the npm stdio server.
  • Review of whether the token has access to personal, shared, Pro, Business, or workspace features.
  • Optional `DRYRUN=true` for simulating mutation tools while still validating against real Todoist data.
  • Agentset account or self-hosted Agentset deployment with a populated namespace.
  • Agentset API key with access to the namespace Claude should query.
  • Node.js 18.17 or newer for running the `@agentset/mcp` package.
  • Namespace ID selected with `--ns` or `AGENTSET_NAMESPACE_ID`.
Install
npx -y @line/line-bot-mcp-server
npx -y obsidian-mcp-server@latest
npx @greirson/mcp-todoist
Run `npx @agentset/mcp --ns <namespace-id>` with `AGENTSET_API_KEY` set in the MCP server environment.
Config
Manual-only setup:
claude mcp add line-bot --env CHANNEL_ACCESS_TOKEN=YOUR_CHANNEL_ACCESS_TOKEN -- npx -y @line/line-bot-mcp-server
{
  "mcpServers": {
    "cyanheads-obsidian": {
      "command": "npx",
      "args": ["-y", "obsidian-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "OBSIDIAN_API_KEY": "{obsidian-local-rest-api-key}",
        "OBSIDIAN_READ_ONLY": "true"
      }
    }
  }
}
{
  "mcpServers": {
    "todoist": {
      "command": "npx",
      "args": [
        "@greirson/mcp-todoist"
      ],
      "env": {
        "TODOIST_API_TOKEN": "your-api-token",
        "DRYRUN": "true",
        "TODOIST_UNIFIED_TOOLS": "true"
      },
      "type": "stdio"
    }
  }
}
{
  "mcpServers": {
    "agentset": {
      "command": "npx",
      "args": ["-y", "@agentset/mcp@latest", "--ns", "ns_xxx"],
      "env": {
        "AGENTSET_API_KEY": "agentset_xxx"
      }
    }
  }
}
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