MCP-Twikit
by adhikasp
MCP-Twikit is a Model Context Protocol (MCP) server designed for interacting with Twitter. It allows users to search and analyze tweets, providing insights into sentiment and trends.
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What is MCP-Twikit?
MCP-Twikit is an MCP server that provides functionality to search and analyze Twitter data. It allows users to retrieve tweets based on various criteria and perform sentiment analysis.
How to use MCP-Twikit?
The server can be installed via Smithery or manually using the provided JSON configuration. It can then be used with mcp-client-cli to perform tasks such as comparing sentiments across different Twitter accounts or getting tweets from your home timeline. Requires setting up Twitter credentials (username, email, password).
Key features of MCP-Twikit
Twitter Search
Sentiment Analysis
Timeline Retrieval
MCP Integration
Command-line Interface
Use cases of MCP-Twikit
Analyzing public sentiment towards brands or products
Monitoring trends on Twitter
Gathering data for research
Automating Twitter interactions
Comparing different twitter accounts
FAQ from MCP-Twikit
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for interacting with various models and services.
How do I install MCP-Twikit?
How do I install MCP-Twikit?
You can install it via Smithery using the provided command or manually using the JSON configuration.
What credentials do I need?
What credentials do I need?
You need a Twitter username, email, and password.
How do I use it to compare sentiments?
How do I use it to compare sentiments?
Use the mcp-client-cli with appropriate commands, as shown in the example usage, to compare sentiments across different Twitter accounts.
Can I get tweets from my timeline?
Can I get tweets from my timeline?
Yes, you can use the get_timeline command to retrieve tweets from your timeline.