tiktok-mcp-server
Enables publishing TikTok videos via the TikTok Content Posting API, supporting file upload and URL-based publishing with status checking.
README
TikTok MCP Server
Serveur MCP Node.js/TypeScript pour publier des vidéos TikTok via la TikTok Content Posting API.
Outils MCP
publish_video: publie une vidéo depuis une URL HTTPS publique.upload_video: initialise l'upload TikTok, envoie un fichier local, puis renvoie le résultat.check_post_status: vérifie le statut d'une publication avecpublish_id.get_account_info: récupère les informations du créateur TikTok connecté.
Prérequis TikTok
Il faut une application TikTok Developer approuvée pour la Content Posting API avec les scopes nécessaires.
Commence avec :
TIKTOK_DEFAULT_PRIVACY_LEVEL=SELF_ONLY
Cela évite de publier publiquement pendant les tests.
Installation locale
npm install
cp .env.example .env
npm run build
npm start
Configuration MCP stdio
{
"mcpServers": {
"tiktok": {
"command": "node",
"args": ["/chemin/vers/tiktok_mcp_server/dist/index.js"],
"env": {
"TIKTOK_ACCESS_TOKEN": "ton_access_token_tiktok",
"TIKTOK_DEFAULT_PRIVACY_LEVEL": "SELF_ONLY"
}
}
}
}
Publier depuis une URL
Entrée type :
{
"title": "ManaVerse - verset du jour #Bible #Foi",
"video_url": "https://exemple.com/video.mp4",
"privacy_level": "SELF_ONLY"
}
Docker
docker compose up --build
Sécurité
- Ne jamais publier
.env. - Ne jamais exposer le token TikTok côté frontend.
- Utiliser un compte de test au début.
- Utiliser
SELF_ONLYpendant les premiers essais.
Déploiement
Pour Render ou Railway, configure :
- Build command :
npm install && npm run build - Start command :
npm start - Variable secrète :
TIKTOK_ACCESS_TOKEN
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
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.