tiktok-mcp
MCP server for TikTok that enables searching videos, users, hashtags, and fetching trending content, user profiles, and video details via official API or public scraping.
README
TikTok MCP Server
Model Context Protocol (MCP) server for TikTok. Provides tools for searching videos, users, hashtags, getting trending content, user profiles, video details, and more.
Features
- Video Search - Search TikTok videos by keyword
- Trending Hashtags - Get currently trending hashtags by region
- Trending Videos - Get popular/trending videos
- User Info - Get user profile details (followers, following, likes, bio, etc.)
- User Videos - Get videos from a specific user's profile
- Video Details - Get detailed video information (stats, description, etc.)
- Hashtag Search - Get videos for a specific hashtag
- User Search - Search for TikTok users
API Access
This server supports two modes:
-
Official TikTok API (recommended) - Requires approved developer access with:
TIKTOK_CLIENT_KEYTIKTOK_CLIENT_SECRETTIKTOK_ACCESS_TOKEN
-
Public Scraping (fallback) - Works without API credentials but may be rate-limited or break if TikTok changes their frontend.
Transport
The server runs over streamable-HTTP by default, exposing the MCP endpoint at
/mcp so it can be hosted as a network service (Easypanel/Docker). Set
MCP_TRANSPORT=stdio to run over stdio for local subprocess use instead.
Configuration
Environment variables:
| Variable | Default | Description |
|---|---|---|
MCP_TRANSPORT |
streamable-http |
streamable-http (hosted) or stdio (local) |
HOST |
0.0.0.0 |
Bind address |
PORT |
8000 |
Listen port |
TIKTOK_CLIENT_KEY |
— | Official API key (optional) |
TIKTOK_CLIENT_SECRET |
— | Official API secret (optional) |
TIKTOK_ACCESS_TOKEN |
— | Official API token (optional) |
Official API (Recommended)
Get credentials from TikTok Developers and set the
three TIKTOK_* variables. If they are not set, the server falls back to public scraping.
Local Development
# Install (editable) with uv
uv pip install -e .
# Run (streamable-HTTP on http://0.0.0.0:8000/mcp)
tiktok-mcp
# Or over stdio
MCP_TRANSPORT=stdio tiktok-mcp
Docker
docker build -t tiktok-mcp .
docker run -p 8000:8000 \
-e TIKTOK_CLIENT_KEY=... \
-e TIKTOK_CLIENT_SECRET=... \
-e TIKTOK_ACCESS_TOKEN=... \
tiktok-mcp
The MCP endpoint will be available at http://localhost:8000/mcp.
Deploy on Easypanel
- Create an App service pointing to this repository (or the GHCR image built by the included CI workflow).
- Build method: Dockerfile (already in the repo root).
- Set the exposed/container port to 8000 and add a domain (Easypanel handles SSL).
- Add the
TIKTOK_*environment variables under the service's Environment tab (leave them empty to use public scraping). - Deploy. The MCP endpoint will be served at
https://<your-domain>/mcp.
Connecting an MCP client
For a hosted HTTP server, connect via URL (not a spawned command). The exact config file depends on the client; the shape is the same:
{
"mcpServers": {
"tiktok": {
"url": "https://<your-domain>/mcp"
}
}
}
- Claude Desktop / Claude Code: add the block above to the MCP config and restart.
- Hermes Agent: point the
tiktokserver at the sameurl.
Once connected, the tools appear to the model (e.g. mcp_tiktok_search_videos) and can
be triggered with natural language — see Example Queries.
Verify the endpoint
After running locally or deploying, confirm the server is up with a raw MCP handshake.
The streamable-HTTP endpoint requires both application/json and text/event-stream
in the Accept header:
curl -i -X POST http://localhost:8000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"curl","version":"1.0"}}}'
A healthy server returns HTTP/1.1 200 OK and an SSE data: line containing
"serverInfo":{"name":"tiktok-mcp",...}.
Available Tools
All tools return a JSON text payload. When scraping is used (no official API
credentials), responses include a "source": "scraping" field.
| Tool | Parameters | Description |
|---|---|---|
search_videos |
query (str, required), max_results (int, default 20) |
Search videos by keyword |
get_trending_hashtags |
region (str, default US) |
Get trending hashtags by region |
get_trending_videos |
region (str, default US), max_results (int, default 20) |
Get trending videos |
get_user_info |
username (str, required — with or without @) |
Get user profile details |
get_user_videos |
username (str, required), max_results (int, default 20) |
Get a user's videos |
get_video_details |
video_id (str, required) |
Get video details by ID |
search_hashtag |
hashtag (str, required — with or without #), max_results (int, default 20) |
Get videos for a hashtag |
search_users |
query (str, required), max_results (int, default 20) |
Search for users |
Example Queries
- "Search for videos about AI automation"
- "Get trending hashtags in Brazil"
- "Find trending videos in the US"
- "Get profile info for @username"
- "Get videos from @username's profile"
- "Search for #marketing hashtag videos"
- "Find users about 'dark fantasy art'"
Development
# Install with dev dependencies
uv pip install -e ".[dev]"
Note: an automated test suite is not included yet. Use the Verify the endpoint handshake to smoke-test changes.
Important Notes
- Rate Limits: Public scraping is subject to TikTok's rate limits. Use official API for production.
- Legal: Respect TikTok's Terms of Service and robots.txt
- Stability: Public scraping may break if TikTok changes their frontend structure
- Official API: Requires TikTok developer approval - apply at developers.tiktok.com
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.