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Tweetbinder
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Tweetbinder

This is an MCP server designed for the TweetBinder by Audiense API, allowing AI models such as Claude to access the analysis data of Twitter/X, including functions such as creating reports, obtaining statistical data, and analyzing tweet content.
Social mediaMarketing#Twitter analysis#Data report#AI integration#Social monitoring Remote.TypeScript
2.5 points
13

What is the TweetBinder MCP Server?

This is a bridge service that connects the AI assistant Claude with the TweetBinder analytics platform, allowing you to directly obtain professional analysis reports of Twitter data in Claude conversations, including in - depth data such as topic popularity, user interaction, and sentiment tendency.

How to use the TweetBinder service?

Simply enter natural language instructions in Claude, such as 'Analyze the tweet trends of #Apple in the past week'. The server will automatically convert it into an API request and return structured data analysis results.

Applicable scenarios

Scenarios such as brand public opinion monitoring, marketing campaign effectiveness evaluation, social media trend analysis, competitor intelligence collection, and influencer user influence evaluation.

Main functions

Tweet analysis reportGenerate comprehensive reports containing interaction metrics, sentiment analysis, and popular content based on keywords, topic tags, or user mentions.
Real - time data statisticsObtain real - time statistical data on the number of tweets, interaction trends, and spread scope of specific topics.
Sentiment tendency analysisAutomatically analyze the sentiment tendency (positive/negative/neutral) of tweet content and generate visual reports.
Key user identificationIdentify the most active and influential user accounts in topic discussions.

Advantages and limitations

Advantages
Obtain professional - level Twitter analysis without programming
Directly integrate with Claude conversations for natural language interaction
Support complex query condition combinations (AND/OR/exclusion, etc.)
Provide historical data backtracking analysis capabilities
Limitations
Valid TweetBinder API credentials are required
Large - scale data analysis may require waiting for report generation
Some advanced functions require a professional - edition account
Only support data analysis of the Twitter platform

How to use

Install the server
Install the server environment with one - click through Smithery or manually configure it.
Set API credentials
Configure your TweetBinder API access token in the environment variables.
Restart Claude
Restart the Claude desktop application to make the configuration take effect
Start analysis
Directly request Twitter data analysis in Claude, for example: 'Please analyze the discussion trends about ChatGPT in the past week'

Usage examples

Brand public opinion monitoringMonitor the discussion and user feedback of a specific brand or product on Twitter
Marketing campaign evaluationEvaluate the performance and user engagement of marketing campaigns on social media

Frequently Asked Questions

How long does it take to generate a report?
Which languages of tweet analysis are supported?
How to obtain an API access token?

Related resources

TweetBinder official website
Get more detailed information about analysis functions and APIs
MCP protocol GitHub repository
Understand the technical specifications of the Model Context Protocol
Installation and configuration video tutorial
Demonstrate the server installation and configuration process step by step
Installation
Copy the following command to your Client for configuration
"mcpServers": {
  "tweetbinder": {
    "command": "node",
    "args": [
      "/absolute/path/to/build/index.js"
    ],
    "env": {
      "TWEETBINDER_API_TOKEN": "your-bearer-token-here"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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