MCP-Twikit is a Model Context Protocol server that enables interaction with Twitter, allowing users to search and analyze tweets, compare sentiments across different accounts, and integrate with tools like Smithery.
A Model Context Protocol (MCP) server for interacting with Twitter.
<a href="https://glama.ai/mcp/servers/49i9dd08w8"><img width="380" height="200" src="https://glama.ai/mcp/servers/49i9dd08w8/badge" alt="mcp-twikit MCP server" /></a>
To install Twikit Twitter Search for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-twikit --client claude
{
"mcpServer": {
"command": "uvx",
"args": ["--from", "git+https://github.com/adhikasp/mcp-twikit", "mcp-twikit"],
"env": {
"TWITTER_USERNAME": "@example",
"TWITTER_EMAIL": "[email protected]",
"TWITTER_PASSWORD": "secret",
}
}
}
MCP-Twikit is an MCP server designed to facilitate interactions with Twitter, enabling sentiment analysis and timeline monitoring. It can be installed automatically via Smithery using the provided npx
command, or manually by configuring the mcpServer
settings with your Twitter credentials.
The server can be used with mcp-client-cli
to compare sentiments across different Twitter accounts, as demonstrated by the example that analyzes customer feedback for Indonesian internet service providers. It also allows users to retrieve and summarize the latest tweets from their home timeline, providing a quick overview of trending topics and notable posts. These features make MCP-Twikit a valuable tool for market research, brand monitoring, and staying informed about relevant discussions on Twitter.
adhikasp/mcp-twikit
December 15, 2024
March 27, 2025
Python