M

MCP Twikit

MCP-Twikit is a Model Context Protocol (MCP) server for interacting with Twitter. It supports automatic installation through Smithery or manual configuration, provides functions such as searching for tweets and retrieving timelines, and supports advanced applications such as sentiment analysis.
2 points
16

What is MCP-Twikit?

MCP-Twikit is an MCP server specifically designed for interacting with the Twitter platform. It allows users to search for tweets, retrieve timeline content, and analyze social media data through simple commands.

How to use MCP-Twikit?

You can use MCP-Twikit by automatically installing it through the Smithery tool or manually configuring the MCP server settings. After installation, you can interact with Twitter using simple commands.

Use cases

Suitable for scenarios that require obtaining and analyzing Twitter data, such as social media analysis, brand monitoring, public opinion analysis, and competitor research.

Main features

Twitter searchSupports searching for Twitter content by keywords, users, time, and other conditions.
Timeline accessRetrieve and analyze the content of your Twitter timeline.
Sentiment analysisAutomatically analyze the sentiment tendency in tweets.

Advantages and limitations

Advantages
A simple and easy-to-use command-line interface
Supports multiple ways to obtain Twitter data
Automatic sentiment analysis function
Limitations
Requires Twitter account credentials
Limited by the Twitter API
Does not support all advanced Twitter search functions

How to use

Installation
Automatically install through Smithery or manually configure
Configuration
Set up Twitter account information
Usage
Interact with Twitter through the command-line tool

Usage examples

Brand sentiment analysisCompare users' evaluations of brands under different Twitter accounts
Timeline monitoringView the latest updates on your Twitter timeline

Frequently Asked Questions

What Twitter account information do I need to provide?
What are the limitations of the search function?
How can I ensure the security of my account information?

Related resources

Smithery installation page
Automatically install MCP-Twikit through Smithery
GitHub repository
MCP-Twikit source code and issue tracking
MCP client CLI
A command-line tool for interacting with the MCP server
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
243
4 points
F
Firecrawl MCP Server
The Firecrawl MCP Server is a Model Context Protocol server integrating Firecrawl's web - scraping capabilities, providing rich web - scraping, searching, and content - extraction functions.
TypeScript
3.9K
5 points
R
Rednote MCP
RedNote MCP is a tool that provides services for accessing Xiaohongshu content. It supports functions such as authentication management, keyword - based note search, and command - line initialization, and can access note content via URL.
TypeScript
446
4.5 points
P
Perplexity MCP
Certified
An MCP server based on the Perplexity AI API, providing web search functionality for the Claude desktop client.
Python
264
4.1 points
E
Exa Web Search
Certified
The Exa MCP Server is a server that provides web search capabilities for AI assistants (such as Claude), enabling real-time and secure web information retrieval through the Exa AI Search API.
TypeScript
1.7K
5 points
P
Perplexity Research Assistant
The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's AI model to automatically analyze query complexity and select the best model to process requests. It supports three tools: search, reasoning, and in - depth research.
TypeScript
260
4.5 points
A
Arxiv
The ArXiv MCP Server is a bridge connecting AI assistants with the arXiv research library, enabling paper search and content access through the MCP protocol.
Python
1.1K
5 points
S
Sail
Sail is a project aiming to unify stream processing, batch processing, and compute - intensive (AI) workloads. It provides an alternative to Spark SQL and Spark DataFrame APIs and supports both standalone and distributed environments.
Rust
885
5 points
Featured MCP Services
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase