mcp-tweetbinder

mcp-tweetbinder

3.3

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TweetBinder by Audiense MCP Server allows AI models like Claude to access Twitter analytics data.

The TweetBinder by Audiense MCP Server is a Model Context Protocol (MCP) server that facilitates the integration of TweetBinder analytics with AI models such as Claude. This server enables users to access and analyze Twitter data, including hashtags, user interactions, and conversations. It provides detailed engagement metrics, sentiment analysis, and the ability to generate comprehensive Twitter reports. Users can manage their reports, check their status, and retrieve detailed statistics. The server also offers tools to count tweets matching specific queries and access tweet content and user information from reports.

Features

  • Direct access to TweetBinder analytics from Claude
  • Analyze hashtags, users, and conversations on Twitter/X
  • Generate Twitter reports with custom search queries
  • Retrieve detailed report statistics and engagement metrics
  • Manage TweetBinder reports and check report generation status

Tools

  1. create-twitter-report

    Create a Twitter report based on search queries

  2. create-twitter-count

    Statistics the number of tweets that meet the search query

  3. list-reports

    List all TweetBinder reports

  4. get-report-content

    Search tweets or user data in reports

  5. get-report-status

    Check report status

  6. get-report-stats

    Search reports statistics and metrics

  7. get-account-balances

    Get account balance and quota information