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TikTok MCP

Community
Seym0n

Model Context Protocol (MCP) with TikTok integration

PublisherSeym0n
Repositorytiktok-mcp
LanguageJavaScript
Forks
29
Stars
198
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    TikTok MCP exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    198 stars and 29 forks from the linked repository.

TikTok MCP

image (12)

The TikTok MCP integrates TikTok access into Claude AI and other apps via TikNeuron. This TikTok MCP allows you to

  • analyze TikTok videos to determine virality factors
  • get content from TikTok videos
  • chat with TikTok videos

Available Tools

tiktok_get_subtitle

Description:
Get the subtitle (content) for a TikTok video url. This is used for getting the subtitle, content or context for a TikTok video. If no language code is provided, the tool will return the subtitle of automatic speech recognition.

Input Parameters:

tiktok_get_post_details

Description:
Get the details of a TikTok post. 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

Input Parameters:

tiktok_search

Description:
Search for TikTok videos based on a query. Returns a list of videos matching the search criteria with their details including description, video ID, creator, hashtags, engagement metrics, date of creation, duration and available subtitles, plus pagination metadata for continuing the search.

Input Parameters:

  • query (required): Search query for TikTok videos, e.g., 'funny cats', 'dance', 'cooking tutorial'
  • cursor (optional): Pagination cursor for getting more results
  • search_uid (optional): Search session identifier for pagination

Install via MCPB (Easiest)

The easiest way to install the TikTok MCP in Claude Desktop is via the MCPB bundle — no cloning or building required.

  1. Download the latest tiktok-mcp.mcpb from the Releases page
  2. Open the .mcpb file — Claude Desktop will show an installation dialog
  3. Enter your TikNeuron API Key when prompted

That's it. Claude Desktop handles the rest automatically.

Requirements

For this TikTok MCP, you need

Setup

  1. Clone the repository
git clone https://github.com/Seym0n/tiktok-mcp.git
  1. Install dependencies
npm install
  1. Build project
npm run build

This creates the file build\index.js

Using in Claude AI

Add the following entry to mcpServers:

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

and replace path with the path to TikTok MCP and XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX with TIkNeuron API Key

so that mcpServers will look like this:

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

Installation

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

Use TikTok MCP MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once TikTok MCP is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add TikTok MCP as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the TikTok MCP MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "tiktok-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "tiktok-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the TikTok MCP MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the TikTok MCP MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use TikTok MCP to help me with this task?
TikTok MCP
Sure. I read it.
Here is what I found using TikTok MCP.

Frequently asked questions

What is the TikTok MCP MCP server used for?

TikTok MCP is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use TikTok MCP MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use TikTok MCP with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use TikTok MCP MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With TikTok MCP connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect TikTok MCP MCP to TypingMind?

TikTok MCP runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does TikTok MCP MCP provide in TypingMind?

TikTok MCP exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use TikTok MCP MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If TikTok MCP requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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