mcp-tweetbinder

mcp-tweetbinder

3.1

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This is a Model Context Protocol (MCP) server for the TweetBinder by Audiense API, enabling AI models like Claude to access Twitter analytics data.

The TweetBinder by Audiense MCP Server provides a seamless integration for AI models to access and analyze Twitter data. By leveraging the TweetBinder API, this server allows users to perform in-depth analysis of hashtags, users, and conversations on Twitter/X. It offers a range of features including engagement metrics, sentiment analysis, and the ability to create detailed Twitter reports. Users can manage their reports, check their status, and retrieve comprehensive statistics. The server also provides account balance and quota information, ensuring users can effectively manage their usage. With easy installation via Smithery and manual configuration options, the server is designed to be accessible and user-friendly for those with a TweetBinder account and API credentials.

Features

  • Access TweetBinder analytics directly from Claude
  • Analyze hashtags, users, and conversations on Twitter/X
  • Get engagement metrics, sentiment analysis, and more
  • Create Twitter reports with custom search queries
  • Retrieve detailed report statistics

Tools

  1. create-twitter-report

    Creates a new report that analyzes Twitter/X data based on a search query.

  2. create-twitter-count

    Creates a new report that counts tweets matching a search query.

  3. list-reports

    Retrieves a list of all your TweetBinder reports with sorting capabilities.

  4. get-report-content

    Retrieves the actual tweets or users from a generated report with advanced filtering and pagination.

  5. get-report-status

    Checks the current status of a TweetBinder report.

  6. get-report-stats

    Retrieves comprehensive statistics and analytics for a TweetBinder report.

  7. get-account-balances

    Retrieves information about your account's credit balance, usage, and remaining quota.