MCP For Claude Marketplace
X (Twitter)

X (Twitter) MCP Connector for Claude

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Automate social intelligence workflows via X (Twitter) — search recent tweets, analyze volume trends, retrieve profiles individually or in batch, and inspect engagement metrics from any AI agent.

6 tools Official Updated Jun 28, 2026 Official Vinkius Partner
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Connect your X (Twitter) developer account to any AI agent and take full control of your social listening workflow through natural conversation.

What you can do

  • Recent Tweet Search — Search for latest public discussions (up to past 7 days) across the network using exact keywords, hashtags, or handles
  • User Lookups — Fetch precise profile metadata of a specific user by their @username, revealing follower counts, location, and biographies
  • Tweet Introspection — Provide a raw Tweet ID and instantly collect isolated text content alongside full engagement metrics (likes, retweets, impressions)
  • Batch Tweet Lookup — Fetch up to 100 tweets at once by their IDs in a single request for efficient bulk analysis
  • Batch User Lookup — Compare multiple user profiles simultaneously by passing several @usernames in one call
  • Volume Analysis — Get time-series tweet counts for any query, broken down by minute, hour, or day to spot trending spikes

How it works

  1. Subscribe to this server
  2. Enter your X (Twitter) App Bearer Token
  3. Start scanning social data securely from Claude, Cursor, or any MCP-compatible client

No need to scrape HTML or fiddle with complex Postman queries. Your AI agent becomes your eyes on the timeline.

Who is this for?

  • Founders & Creators — track brand mentions or specific niche keywords to respond early to sentiment shifts
  • Product Researchers — pull lists of recent tweets about competitors and ask the agent to summarize common user pain points
  • Marketing Teams — audit influencers' engagement by checking exact follower counts and most prominent tweets in seconds
social-listeningsentiment-analysisengagement-metricscontent-discoveryprofile-metadatatrend-analysis

6 tools expose this connector's capabilities to your AI agent.

get_tweet_details

Retrieve the text and engagement metrics of a specific Tweet by its numeric ID

get_tweet_volume

Returns time-series buckets showing how many tweets match a query. Great for spotting spikes in brand mentions or trending topics. Get the volume of tweets matching a search query over the last 7 days, broken down by hour or day

lookup_users_batch

Pass usernames as a comma-separated string without the "@" symbol. Fetch profile details of multiple X (Twitter) users at once by their @usernames (up to 100)

get_tweets_batch

Pass IDs as a comma-separated string. Retrieve text and engagement metrics for multiple tweets at once by providing their IDs (up to 100)

search_recent_tweets

Provide a search query string. Search for recent public tweets (up to last 7 days) using keywords, hashtags, or handles

lookup_user_by_username

Do not include the "@" symbol. Fetch full details of a specific X (Twitter) user by their @username (follower count, bio, location)

See how to talk to your AI agent using X (Twitter).

Search for tweets mentioning 'Vinkius Cloud' over the last couple days.

I've fetched 8 recent tweets mentioning 'Vinkius Cloud'. The sentiment is mostly positive, praising the new LLM integrations. One user encountered a latency issue. Want me to summarize their exact complaint?

Look up the profile details for 'elonmusk'.

Profile fetched: Elon Musk is based in Austin, TX and currently has over 180M followers. His bio reads '...'. Should I retrieve his most recent tweets?

Get the engagement stats for tweet ID 123456789.

The tweet 'Just shipped the new API v2!' has 4,500 likes, 320 retweets, and 12 replies so far. The engagement rate seems healthy based on your average metrics.

Yes. Ask the agent to run a recent search tool utilizing your query (e.g., '#competitor'). It will grab the last 10 matching tweets within seconds, giving you raw sentiment and user commentary without opening the app.

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