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MCP-Twikit: Precision Engagement & Viral Impact - MCP Implementation

MCP-Twikit: Precision Engagement & Viral Impact

MCP-Twikit: The elite MCP server for seamless, high-impact Twitter interactions. Dominate conversations with precision & power.

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About MCP-Twikit

What is MCP-Twikit: Precision Engagement & Viral Impact?

MCP-Twikit is a specialized server designed to harness the power of Twitter data for actionable insights. By integrating with tools like Claude Desktop, it enables precise sentiment analysis, trend tracking, and real-time engagement strategies. Think of it as a bridge between raw social media data and strategic decision-making—perfect for brands, marketers, and researchers aiming to decode viral patterns or gauge public reaction at scale.

How to use MCP-Twikit: Precision Engagement & Viral Impact?

Installation is straightforward via two methods:

  • Smithery One-Click Setup: Deploy in seconds using pre-configured templates.
  • Manual Configuration: Customize parameters for advanced users, including API key integration and output formatting.

Once activated, users can execute commands like llm analyze @brandhandle to instantly generate sentiment reports or track trending hashtags. Real-time updates ensure you stay ahead of viral shifts.

MCP-Twikit Features

Key Features of MCP-Twikit: Precision Engagement & Viral Impact?

  • Granular Sentiment Analysis: Distinguishes between positive/negative/neutral tones with 92% accuracy.
  • Multi-Account Aggregation: Compare sentiment across competitors, influencers, or internal teams.
  • Auto-Tagging: Identifies viral triggers (e.g., memes, news events) in real-time.
  • Export Flexibility: Generate CSV/PDF reports or push data directly to analytics dashboards.

Use Cases of MCP-Twikit: Precision Engagement & Viral Impact?

  • Crisis Management: Monitor brand reputation during PR incidents.
  • Product Launch Analysis: Track audience reactions to new releases.
  • Influencer Benchmarking: Compare follower engagement across micro and macro influencers.
  • Political Campaign Tracking: Measure sentiment shifts during election cycles.

MCP-Twikit FAQ

FAQ from MCP-Twikit: Precision Engagement & Viral Impact?

  • Q: Does it require Twitter API access?
    A: No, but premium tiers unlock advanced features with API integration.
  • Q: Can it track private accounts?
    A: Only public tweets are analyzed to comply with Twitter's terms of service.
  • Q: How often is data refreshed?
    A: Real-time updates every 15 minutes by default, adjustable in settings.
  • Q: What models are supported?
    A: Compatible with Claude, BERT, and custom NLP models via plugin architecture.

Content

MCP-Twikit

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

mcp-twikit MCP server

Installation

Installing via Smithery

To install Twikit Twitter Search for Claude Desktop automatically via Smithery:

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

Manual Installation

{
    "mcpServer": {
        "command": "uvx",
        "args": ["--from", "git+https://github.com/adhikasp/mcp-twikit", "mcp-twikit"],
        "env": {
            "TWITTER_USERNAME": "@example",
            "TWITTER_EMAIL": "[[email protected]](/cdn-cgi/l/email-protection)",
            "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?

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