MCP Server for Twitter Data Extraction

Use Bright Data’s enterprise-grade MCP Server to scrape only public Twitter data. Extract, analyze, and process public tweets, user profiles, hashtags, trends, and comments—quickly, reliably, and at scale.

No credit card required

The Ultimate MCP Tool to Scrape Twitter Data

Want to try the Twitter MCP without setting up anything?

One MCP for the Web

Bright Data MCP for Twitter lets you extract only public tweets, user profiles, hashtags, trends, and reply data—never private or login-required content.
Search

  • Find public tweets by keyword, topic, or hashtag
  • Extract tweet URLs, content, media links, and engagement stats
  • Get user profiles, follower counts, and trending topics
Crawl

  • Crawl public profiles and hashtag pages for themes, topics, and tweets
  • Export public replies, categories, and tweet engagement metrics
  • Monitor trending tweets, popular topics, and retweets
Access

  • Access only public Twitter data—never private messages or private profiles
  • Bypass open-access limits—no login or cookies needed
  • Collect real-time engagement metrics, trends, and public replies
Navigate

  • Automate browsing across profiles, topics, trends, and categories
  • Bulk extract tweets, replies, public follower data
  • Emulate user navigation—never enter private zones
get inspired

See what people are building

Ready to Supercharge Twitter Scraping?

Get started with Twitter MCP Server in minutes. No setup required.

No credit card required

Twitter MCP Server FAQs

The Twitter MCP Server is a specialized integration that empowers your AI agents to access real-time public data from Twitter. It acts as a bridge, allowing tools like Claude, Cursor, and custom LLMs to search, extract, and interact with Twitter content dynamically.

Built on Bright Data's robust infrastructure, the Web MCP Server handles the complexities of web data extraction behind the scenes. It automatically manages proxy rotation, CAPTCHA solving, and unlocking technology to ensure your AI receives structured, reliable data from Twitter without getting blocked.

The data is completely real-time. Unlike databases that can become outdated, the Twitter MCP fetches live content directly from the source at the moment of request, ensuring your AI agents act on the most current pricing, posts, or profile information available.

Yes! We offer a generous free tier that includes 5,000 requests per month. This allows developers and businesses to test the Twitter MCP Server, build prototypes, and perform light data extraction at no cost before scaling up.

Yes. Beyond retrieving static data, the server supports full browser automation. Your agents can be instructed to navigate Twitter pages, click buttons, handle infinite scrolling, and even take screenshots, enabling complex workflows that simulate real user behavior.

You have the choice. You can use our fully managed Remote MCP for instant access with zero infrastructure setup, or you can deploy the Local MCP if you require on-premise control and custom environment configurations for your Twitter projects.

Our Web MCP Server is designed for seamless integration with popular AI clients. It works natively with Claude Desktop, Cursor, Windsurf, and diverse agentic frameworks like LangChain, making it easy to add Twitter data capabilities to your existing workflows.

Rapid mode is free and ideal for everyday tasks like SERP lookups and basic text extraction. Pro mode unlocks premium capabilities for Twitter, including deep structured data extraction and advanced browser automation tools designed for large-scale production environments.

Absolutely. The Twitter MCP Server is built with strict adherence to data protection regulations, including GDPR and CCPA. We only access publicly available web data, ensuring your AI operations remain compliant and ethically sound.

The server delivers data in clean, AI-ready formats. Depending on your specific needs, you can retrieve Twitter data as structured JSON objects for precise analysis or as simplified Markdown text optimized for LLM context windows.