X (Twitter) MCP. Track public sentiment and user profiles.
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Use this X (Twitter) MCP to automate social intelligence workflows right from your agent. It lets you search for recent public discussions using keywords, fetch detailed profile information by username, or get the full engagement metrics for any specific tweet ID.
Stop manually checking timelines; let your AI client pull structured data directly.
What your AI agents can do
Get tweet details
Retrieves the text and engagement metrics from any specific tweet ID.
Lookup user by username
Fetches full details of a specific X user by their username (follower count, bio, verified status).
Search recent tweets
Searches for recent public tweets (up to last 7 days) using keywords, hashtags, or handles.
Find recent public discussions across the network using exact keywords or hashtags.
Fetch complete details about a specific X user, including their follower count and verified status.
Retrieve the text content and all metrics—likes, retweets, replies—from any given tweet ID.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
X (Twitter) MCP with 3 Tools
These tools let you gather specific social media intelligence. You can search keywords across the platform, pull full details for any user, or get deep metrics on a single tweet.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using X (Twitter) on Vinkius019d7616get tweet details
Retrieves the text and engagement metrics from any specific tweet ID.
019d7616lookup user by username
Fetches full details of a specific X user by their username (follower count, bio, verified status).
019d7616search recent tweets
Searches for recent public tweets (up to last 7 days) using keywords, hashtags, or handles.
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by X (Twitter). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 3 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The hassle of collecting social data today
Right now, tracking brand mentions means opening Twitter and manually searching by keyword. You click through multiple pages of results, copy-paste usernames into a separate list, then you have to open those individual profiles just to check the follower count. It's tedious, it takes hours, and every time you hit a rate limit, your work stops until the next day.
With this MCP, you tell your agent what keywords or topics matter. The system pulls all the raw data—the tweets, the users, the metrics—and hands it back as structured information. You get clean, usable text and numbers without ever needing to touch a web browser.
Understanding User Status with lookup_user_by_username
Before you trust any source, you have to check the profile's legitimacy. You can’t just rely on what they say in their bio. You need hard numbers: Is it verified? How many people actually follow them? These details are scattered across different parts of a user's page.
The MCP gathers all that info into one clean call. It gives you the full metadata—follower count, bio text, and verification status—so your agent knows exactly who it's dealing with.
What you can do with this MCP connector
You can connect your X (Twitter) developer account to your AI agent and take control of social listening without messy web scraping. Instead of navigating through endless feeds, you tell your agent exactly what you need: a list of people talking about a specific topic in the last seven days, or the full stats for a single post.
The MCP lets your agent pull detailed profile data by username, giving you follower counts and bio text instantly. Need to audit how well an influencer is doing? Just provide the tweet ID, and you get the raw engagement numbers—likes, retweets, and replies. When you run these operations through Vinkius, all tool calls are cryptographically signed, creating a tamper-proof audit trail, so you know exactly what data your agent pulled and when.
Your AI client becomes your eyes on the timeline.
019d7616-f57d-73c9-be93-c5faae01222d 
How X (Twitter) MCP Works
- 1 Subscribe to this MCP and enter your X (Twitter) App Bearer Token credentials.
- 2 Instruct your agent on the data you need. For example, 'Find all mentions of our competitor in the last week.'
- 3 The agent executes the necessary tool calls against the secure Vinkius platform and returns structured, actionable data.
The bottom line is that instead of clicking through multiple web pages, your agent handles the whole process for you.
Who Is X (Twitter) MCP For?
Brand managers who need to know what people are saying about their brand right now. Product researchers tired of manually compiling competitor complaint lists. Marketing teams needing fast, accurate proof points on influencer performance.
They use the MCP to search for recent tweets mentioning competitor names or specific feature gaps, summarizing common user pain points instantly.
They check exact follower counts and analyze engagement metrics on key posts to gauge campaign success in seconds.
They track brand mentions across the network to quickly identify shifts in public sentiment or emerging niche conversations.
What Changes When You Connect
- Identify emerging topics fast. Use the search function to pull lists of recent tweets about competitors or niche keywords, allowing you to respond early when sentiment shifts.
- Audit influencer performance accurately. Get precise profile metadata using
lookup_user_by_usernameto check current follower counts and bios without guessing. - Analyze post impact instantly. With
get_tweet_details, you get raw numbers—likes, retweets, replies—allowing you to measure true content engagement rates. - Process large data sets with minimal effort. Your agent handles the complex API queries that used to require hours of manual work in a dashboard.
- Build multi-step intelligence workflows. You can chain this MCP with other services within Vinkius to build automations that span multiple platforms using one AI client.
Real-World Use Cases
Competitor monitoring after launch
A product researcher needs to know what people are saying about the new market leader. They ask their agent to use search_recent_tweets for competitor names over the last week, then summarize the common complaints found.
Verifying an influencer's reach
A marketing manager needs proof of a micro-influencer's authority. They use lookup_user_by_username to confirm follower counts and verified status before signing a contract.
Measuring content effectiveness
Someone posts an announcement tweet. To measure its success, they give the agent the tweet ID and call get_tweet_details. The resulting data shows exactly how many likes it got versus retweets.
Tracking a brand's reputation
A founder needs to monitor mentions of their company name. They use search_recent_tweets for the last seven days and ask the agent to categorize the sentiment found across all results.
The Tradeoffs
Trying to scrape data manually
Opening Twitter in a browser, scrolling through pages of results, and copy-pasting mentions into a spreadsheet. This is slow and inaccurate.
→
Use search_recent_tweets to pull the structured list of keywords you need. Then, use your agent to process that data directly without ever touching the web interface.
Only checking one post's metrics
Looking up a single tweet ID and seeing only the like count, but missing retweets or replies needed for full context.
→
Always use get_tweet_details because it collects all core engagement data—likes, retweets, and replies—in one call.
Assuming a profile is active
Relying only on the bio description to judge an account's relevance. The follower count might be outdated or misleading.
→
Run lookup_user_by_username first. It provides current, structured data points like verified status and up-to-date follower counts.
When It Fits, When It Doesn't
Use this MCP if your goal is to gather raw, quantifiable social signals—like keyword mentions, exact user stats, or post performance metrics. Don't use it if you just want a general idea of the 'vibe.' For instance, don't rely on a human agent's subjective summary; instead, use search_recent_tweets to get 80 raw data points and let your own AI client analyze those numbers. If all you need is basic text retrieval and you have no concept of metrics or user status, consider an alternative messaging service MCP, but for anything public-facing on X, this is the right tool.
Common Questions About X (Twitter) MCP
How do I use search_recent_tweets to track a competitor? +
Just provide the exact keyword or hashtag in your query. The MCP searches for public tweets mentioning that term over the last seven days, giving you a list of discussions.
Can get_tweet_details tell me if a tweet was successful? +
It provides all the numbers needed to judge success: likes, retweets, and replies. You can feed those metrics into your agent for analysis.
Does lookup_user_by_username need an @ symbol? +
No. When using lookup_user_by_username, you only provide the username without the '@' symbol, making the call cleaner and more reliable.
Is this MCP good for sentiment analysis? +
It provides all the raw data—the text from the search results and the tweet details—that your agent needs to run its own sentiment analysis.
What is the time limit for using search_recent_tweets? +
The tool searches public discussions up to the last seven days. This limitation covers recent, available content across the network. You won't find historical archives or deeply buried posts.
How is authentication handled when running lookup_user_by_username? +
The platform uses a zero-trust proxy for credentials. Your Bearer Token passes through in transit but never gets stored on disk. This keeps your keys secure while the agent works.
Are there rate limits I need to worry about with get_tweet_details? +
Vinkius manages throttling and API adherence for you. The platform handles the underlying service rate limiting, so you just focus on what data you need from a specific Tweet ID.
What kind of data does lookup_user_by_username retrieve? +
It pulls public profile metadata like follower count, verified status, and the user's bio. It only accesses publicly available information associated with the account.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.