MCP Twikit

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What is mcp-twikit

mcp-twikit is a Model Context Protocol (MCP) server designed by adhikasp to facilitate interactions with Twitter. It provides a robust framework for AI systems to securely access and analyze Twitter data. By leveraging the MCP's universal standard, mcp-twikit allows AI assistants to retrieve tweets, perform sentiment analysis, and gather real-time information from Twitter accounts. This server acts as a bridge between AI clients and Twitter, enabling seamless data retrieval and processing.

How to Use mcp-twikit

Using mcp-twikit involves setting up the server and connecting it with your preferred AI client. The installation can be done via automated tools or manually:

Installation

Automated Installation: Execute the following command to install mcp-twikit via Smithery for the Claude Desktop client:
```
npx -y @smithery/cli install mcp-twikit --client claude
```

Manual Installation: Configure the server using the following JSON snippet:

{
    "mcpServer": {
        "command": "uvx",
        "args": ["--from", "git+https://github.com/adhikasp/mcp-twikit", "mcp-twikit"],
        "env": {
            "TWITTER_USERNAME": "@example",
            "TWITTER_EMAIL": "me@example.com",
            "TWITTER_PASSWORD": "secret",
        }
    }
}

Example Usage

Once set up, you can perform tasks like sentiment analysis of tweets directed at specific Twitter accounts or retrieve tweets from your home timeline using an MCP client tool. For instance:

Sentiment Analysis: Analyze sentiments of tweets directed at various service providers to understand public opinion.
Timeline Retrieval: Get the latest tweets from your home timeline and summarize key highlights.

Key Features of mcp-twikit

mcp-twikit comes packed with features that make it a valuable tool for interacting with Twitter:

Seamless Integration: Easily connects with AI clients to provide a smooth interaction with Twitter data.
Real-time Data Access: Fetches real-time information from Twitter, allowing timely analysis and decision-making.
Sentiment Analysis: Capable of analyzing sentiments across multiple Twitter accounts to gauge public opinion effectively.
Secure Access: Provides a secure method for AI systems to interact with Twitter, ensuring data privacy and integrity.
Customizable Setup: Offers flexibility in installation and configuration, allowing users to tailor the server to their specific needs.
Enhanced AI Functionality: Empowers AI clients with the ability to perform complex data retrieval and processing tasks on Twitter data.

mcp-twikit is an essential tool for developers and businesses looking to harness the power of Twitter data through AI, offering insights and capabilities that enhance user engagement and understanding.

A Model Context Protocol (MCP) server for interacting with Twitter.

Installation

Installing via

To install Twikit Twitter Search for Claude Desktop automatically via :

npx -y @/cli install mcp-twikit --client claude

Manual Installation

 "mcpServer": {
 "command": "uvx",
 "args": ["--from", "git+ "mcp-twikit"],
 "env": {
 "TWITTER_USERNAME": "@example",
 "TWITTER_EMAIL": "me@example.com",
 "TWITTER_PASSWORD": "secret",

Example usage

Using mcp-client-cli

Comparing sentiments across different twitter accounts

$ llm compare 20 latest tweet directed @IndiHomeCare, @di_cbn, @BiznetHome, @ID_MyRepublic. What are people sentiment to the product? Do 1 search for each account
I'll help you analyze the latest tweets for these internet service providers in Indonesia to understand the public sentiment. I'll use the search_twitter function for each account.
Tool Calls:
 search_twitter
 Args:
 query: to:IndiHomeCare
 count: 20
 sort_by: Latest
Tool Calls:
 search_twitter
 Args:
 query: to:di_cbn
 count: 20
 sort_by: Latest
Tool Calls:
 search_twitter
 Args:
 query: to:BiznetHome
 count: 20
 sort_by: Latest
Tool Calls:
 search_twitter
 Args:
 query: to:ID_MyRepublic
 count: 20
 sort_by: Latest
Sentiment Analysis Summary:
1. IndiHomeCare:
- Predominantly Negative Sentiment
- Key Issues:
 - Unstable internet connection
 - Slow response times
 - Intermittent service disruptions
 - Long waiting times for customer support
- Specific Complaints:
 - Network instability
 - Lagging internet
 - Unresolved technical issues
 - Lack of timely communication
2. CBN (di_cbn):
- Mostly Negative Sentiment
- Key Issues:
 - Prolonged internet outages (some reporting 1-2 days of no service)
 - Slow customer support response
 - Lack of clear communication about service disruptions
- Specific Complaints:
 - LOS (Line of Sight) issues
 - No timely resolution of technical problems
 - Delayed email and support responses
3. BiznetHome:
- Strongly Negative Sentiment
- Key Issues:
 - Frequent network interruptions
 - Slow internet speeds
 - Poor customer support responsiveness
- Specific Complaints:
 - Packet loss
 - Inconsistent connection
 - Long download times
 - Unresolved technical issues
4. MyRepublic (ID_MyRepublic):
- Extremely Negative Sentiment
- Key Issues:
 - Severe and prolonged service disruptions
 - Complete internet outages
 - Inability to access online services and games
 - Extremely poor customer support
- Specific Complaints:
 - Multi-day service interruptions
 - Inability to access websites and online games
 - Missed technician appointments
 - Lack of compensation or clear communication
Overall Sentiment Ranking (from Bad to Worst):
1. IndiHomeCare (Bad)
2. CBN (Worse)
3. BiznetHome (Very Bad)
4. MyRepublic (Extremely Bad)
Common Themes Across Providers:
- Poor network stability
- Slow customer support response
- Lack of transparent communication
- Prolonged service interruptions
- Unresolved technical issues
Recommendation: These Indonesian internet service providers are experiencing significant customer satisfaction issues. Customers are frustrated with unreliable services, poor technical support, and lack of timely problem resolution.

Getting tweets from your home timeline

$ llm what is happening on my twitter timeline?
I'll help you check your Twitter timeline. I'll retrieve the latest tweets from your timeline:
Tool Calls:
 get_timeline
 Args:
I'll summarize the key highlights from your Twitter timeline:
1. Professional/Tech Highlights:
- @ibamarief is preparing to onboard their first intern, noting it's a significant responsibility
- @papanberjalan shared a critique about web developers not understanding computer performance
- @pathofexile is running a Twitch Drops promotion for their game
2. Notable Tweets:
- @elonmusk posted a cryptic "Hmm"
- @realDonaldTrump discussed eliminating Daylight Saving Time
- @blinkist shared an article about billionaires reading up to 50 books per year
3. Miscellaneous Interesting Tweets:
- @nealtaparia shared a thread about 11 companies built around a single product
- @Rixhabh__ posted about creative and iconic ads
- Several tweets in Indonesian covering various topics from personal stories to social issues
Would you like me to elaborate on any of these tweets or provide more context about any specific post?

How to Use

To use the mcp-twikit, follow these steps:

Visit https://github.com/adhikasp/mcp-twikit
Follow the setup instructions to create an account (if required)
Connect the MCP server to your Claude Desktop application
Start using mcp-twikit capabilities within your Claude conversations

Additional Information

Created

March 12, 2025

Company

adhikasp

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MCP Twikit

What is mcp-twikit

How to Use mcp-twikit

Installation

Example Usage

Key Features of mcp-twikit

Installation

Installing via

Manual Installation

Example usage

Comparing sentiments across different twitter accounts

Getting tweets from your home timeline

How to Use

Additional Information

Created

Company

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Start building your own MCP Server