
mcp-twikitThis server connects AI chatbots to Twitter so you can search posts and track your home feed during a conversation. Simply add your login details to the setup, and your assistant will fetch tweets to
Overview
Key features
- Twitter search integration
- Home timeline fetching
- Sentiment analysis capability
- Query-based tweet retrieval
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Sentiment Analysis of Internet Service Providers
Comparing sentiments across different Twitter accounts to analyze public sentiment towards various products or services.
Retrieving Home Timeline Tweets
Fetching the latest tweets from a user's home timeline to understand current discussions or trends.
Pros & Cons
Pros
- Enables AI chatbots to interact with Twitter data in real-time
- Supports searching tweets based on various queries and account interactions
- Can fetch and analyze tweets for sentiment analysis and other use cases
Cons
- Requires Twitter login credentials for setup
- May be subject to Twitter API limitations and rate limits
- Currently, specific details about scalability and performance are not available
Reviews
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Q&A
Are there any usage limits or constraints I should be aware of?
The tool relies on the standard Twitter API, so it is subject to Twitter’s rate limits and any restrictions on the number of requests or tweets returned. Additionally, you must keep your login credentials secure, as they are required for operation.
Asked by Cristina Moreno · Oct 22, 2025
What kind of Twitter data can the server retrieve and how can I use it?
MCP‑Twikit supports keyword or account‑based searches, fetching the latest tweets from your home timeline, and retrieving a set number of recent tweets (e.g., the 20 most recent). You can use these results for real‑time info, sentiment analysis, or comparative studies across multiple accounts.
Asked by Rania Nasser · Sep 2, 2025
How do I set up MCP‑Twikit to let my AI chatbot access my Twitter account?
Install the server via Smithery or manually, then add your Twitter username, email, and password to the environment variables (TWITTER_USERNAME, TWITTER_EMAIL, TWITTER_PASSWORD). After the credentials are set, the assistant can fetch tweets and run searches during a conversation.
Asked by Carlos Mendoza · Aug 15, 2025
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