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Access Twitter data for AI clients to search, analyze, and use social content.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "twitterapi-mcp" yet — see the docs or source repo.
Using twitterapi-mcp, search for the most popular tweets from the last 7 days mentioning "new energy vehicles," rank them by engagement, and summarize the main topics, sentiment trends, and frequently appearing accounts.
A list of relevant high-engagement tweets plus topic clusters, sentiment analysis, and key account summaries.
Using twitterapi-mcp, fetch the latest 30 tweets from a competitor's Twitter account, calculate likes, reposts, and replies, and summarize which content types drive the highest engagement.
Performance metrics for the tweets, engagement comparisons, and actionable content strategy insights.
Using twitterapi-mcp, search English tweets about "generative AI regulation," extract representative opinion samples, and organize them into supportive, concerned, and neutral categories.
Structured opinion samples ready for further research, reporting, or viewpoint synthesis.
Enable AI agents to search, post, reply, and engage on Twitter/X.
Connect to X through MCP clients to fetch, search, and handle tweets.
Access Twitter data like tweets, profiles, trends, lists, and communities.
Connect to the mcp API via MCP to extend AI tool capabilities.
Search public X/Twitter posts and retrieve tweet details through a read-only MCP tool.
Securely interact with X while preventing sensitive tweet content from leaking into logs.