MCP-Twikit

What is MCP-Twikit?

MCP-Twikit is a Model Context Protocol (MCP) server that enables AI assistants to interact with Twitter. It allows searching tweets, retrieving timelines, and performing sentiment analysis via an MCP client. Intended for developers and power users who want to integrate Twitter data into LLM workflows.

How to use MCP-Twikit?

Install automatically via Smithery using npx -y @smithery/cli install mcp-twikit --client claude or manually by configuring an MCP client with the command uvx --from git+https://github.com/adhikasp/mcp-twikit mcp-twikit and environment variables TWITTER_USERNAME, TWITTER_EMAIL, and TWITTER_PASSWORD. Once configured, use tools like search_twitter and get_timeline through your MCP client.

Key features of MCP-Twikit

• Search tweets by query and sort by latest.
• Retrieve tweets from your own home timeline.
• Compare sentiments across multiple Twitter accounts.
• Example usage with mcp-client-cli.

Use cases of MCP-Twikit

• Analyze public sentiment about products or brands by searching recent mentions.
• Get a summary of your Twitter timeline through natural language requests.
• Compare customer feedback across competing service providers.
• Automate Twitter data collection for research or monitoring.

FAQ from MCP-Twikit

What MCP client can I use with MCP-Twikit?

The README shows an example using mcp-client-cli, and Smithery offers installation for Claude Desktop.

What environment variables are required?

You must set TWITTER_USERNAME, TWITTER_EMAIL, and TWITTER_PASSWORD in the server configuration.

Can I search tweets from specific accounts?

Yes, the example demonstrates using to:accountname syntax in the query to find tweets directed at a given account.

Does MCP-Twikit require authentication?

Yes, it requires your Twitter credentials (username, email, password) to access the Twitter API.

Are there any rate limits or usage restrictions?

The README does not mention any specific limits.