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TikTok MCP

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TikTok MCP

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TikTok MCPは、TikNeuronを介してClaude AIやその他のアプリにTikTokへのアクセスを統合します。このTikTok MCPを使用すると、

  • TikTok動画を分析してバイラル要因を特定する

  • TikTok動画からコンテンツを取得する

  • TikTok動画でチャット

利用可能なツール

ティックトックで利用可能な字幕

説明：
TikTok動画で利用可能な字幕（コンテンツ）を検索します。これは、TikTok動画に利用可能なコンテンツ（字幕）があるかどうかを確認するために使用されます。動画で利用可能な字幕を返します。字幕は、自動音声認識、機械翻訳、クリエイターキャプションなど、様々な言語や形式で提供される場合があります。

入力パラメータ:

ティックトック_get_subtitle

説明：
TikTok動画のURLから字幕（コンテンツ）を取得します。これは、TikTok動画の字幕、コンテンツ、またはコンテキストを取得するために使用されます。言語コードが指定されていない場合、ツールは自動音声認識による字幕を返します。

入力パラメータ:

ティックトックの投稿詳細を取得

説明：
TikTokの投稿の詳細を取得します。動画の詳細を以下のように返します。

  • 説明

  • 作成者のユーザー名

  • ハッシュタグ

  • いいね、シェア、コメント、閲覧、ブックマークの数

  • 作成日

  • ビデオの長さ

入力パラメータ:

Related MCP server: tiktok-mcp

要件

このTikTok MCPに必要なのは

設定

  1. リポジトリをクローンする

git clone https://github.com/Seym0n/tiktok-mcp.git

  1. 依存関係をインストールする

npm install

  1. ビルドプロジェクト

npm run build

これによりbuild\index.jsファイルが作成されます。

Claude AIでの使用

mcpServersに次のエントリを追加します。

"tiktok-mcp": {
    "command": "node",
    "args": [
      "path\\build\\index.js"
    ],
    "env": {
      "TIKNEURON_MCP_API_KEY": "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
    }
}

そして、パスをTikTok MCPへのpathに置き換え、 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX TIkNeuron APIキーに置き換えます。

mcpServers次のようになります。

{
  "mcpServers": {
    "tiktok-mcp": {
      "command": "node",
      "args": [
        "path\\build\\index.js"
      ],
      "env": {
        "TIKNEURON_MCP_API_KEY": "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
      }
    }
  }
}

Available Tools

3 tools
tiktok_get_post_detailsB

Get the details of a TikTok post.This is used for getting the details of a TikTok post.Supports TikTok video url (or video ID) as input.Returns the details of the video like - Description - Video ID - Creator username - Hashtags - Number of likes, shares, comments, views and bookmarks - Date of creation - Duration of the video - Available subtitles with language and source information

ParametersJSON Schema
NameRequiredDescriptionDefault
tiktok_urlYesTikTok video URL, e.g., https://www.tiktok.com/@username/video/1234567890 or https://vm.tiktok.com/1234567890, or just the video ID like 7409731702890827041

TDQS

B3.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It lists many return fields (likes, shares, comments, etc.), which is helpful, but does not disclose authentication, rate limits, or potential errors.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is moderately concise but has redundancy (first two sentences say similar things). It lists return fields in a bullet-like manner, which aids readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one parameter and no output schema, the description adequately covers input and output fields. However, it lacks context on error handling, authentication, or pagination if applicable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already describes the parameter in detail, including URL formats and video ID example. The description adds minimal extra value; it mentions 'supports TikTok video url (or video ID)' which matches the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it gets post details and lists specific returned fields, distinguishing it from sibling tools like tiktok_get_subtitle and tiktok_search. However, the first two sentences are redundant.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It implies use when post details are needed and specifies input formats (URL or video ID), but does not provide explicit when-to-use or when-not-to-use guidance compared to alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

tiktok_get_subtitleA

Get the subtitle (content) for a TikTok video url.This is used for getting the subtitle, content or context for a TikTok video.Supports TikTok video url (or video ID) as input and optionally language code from the tool post detailsReturns the subtitle for the video in the requested language and format.If no language code is provided, the tool will return the subtitle of automatic speech recognition.

ParametersJSON Schema
NameRequiredDescriptionDefault
tiktok_urlYesTikTok video URL, e.g., https://www.tiktok.com/@username/video/1234567890 or https://vm.tiktok.com/1234567890, or just the video ID like 7409731702890827041
language_codeNoLanguage code for the subtitle, e.g., en for English, es for Spanish, fr for French, etc.

TDQS

A3.7/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden; it mentions automatic speech recognition fallback but omits other behaviors like rate limits, authorization, or error handling for missing subtitles.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description has some redundancy (e.g., 'Get the subtitle...' and 'This is used for getting...'). Could be more concise without losing clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequate for a simple tool with two parameters, but lacks details on return format, error handling, and authentication requirements. Not thoroughly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are already described. The description adds little beyond the schema, only mentioning the automatic speech recognition fallback for missing language code.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool gets subtitles for TikTok videos using a URL or ID. This distinguishes it from siblings like tiktok_get_post_details and tiktok_search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the tool is for getting subtitles and mentions optional language code. However, it does not explicitly state when not to use it or compare with alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 3 tool updates
    • First observedtiktok_get_post_details
    • First observedtiktok_get_subtitle
    • First observedtiktok_search
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.7/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: get post details, get subtitles, and search. No overlap, descriptions are clear and specific.

Naming Consistency5/5

All tools follow a consistent 'tiktok_verb_noun' pattern (get_post_details, get_subtitle, search). Naming is uniform and predictable.

Tool Count4/5

3 tools is appropriate for a focused TikTok MCP that provides core reading operations. Could be slightly expanded, but not under-scoped.

Completeness3/5

Covers search, post details, and subtitles, but missing user profiles, trending, or interaction features. Notable gaps for a comprehensive TikTok tool set.

Maintenance

ActivitySlowing
ResponsivenessNo issues

Resources

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