Audiense Insights

Audiense Insights MCP Server

Audiense Insights MCP Server is a server based on the Model Context Protocol (MCP) that allows Claude and other MCP-compatible clients to interact with your Audiense Insights account.

What is an MCP Server?

MCP Info

Image Building Info

Available Tools (8)

Tools Details

Tool: compare-audience-influencers

Compares the influencers of an audience with a baseline audience. The baseline is determined as follows: If the selection was the full audience and a single country represents more than 50% of the audience, that country is used as the baseline. Otherwise, the Global baseline is applied. If the selection was a specific segment, the full audience is used as the baseline. Each influencer comparison includes: - Affinity (%) - The level of alignment between the influencer and the audience. Baseline Affinity (%) - The influencer’s affinity within the baseline audience. Uniqueness Score - A measure of how distinct the influencer is within the selected audience compared to the baseline.

Tool: get-audience-content

Retrieves audience content engagement details for a given audience.

This tool provides a detailed breakdown of the content an audience interacts with, including:

• Liked Content: Popular posts, top domains, top emojis, top hashtags, top links, top media, and a word cloud.
• Shared Content: Content that the audience shares, categorized similarly to liked content.
• Influential Content: Content from influential accounts that impact the audience, with similar categorization.

Each category contains:

• popularPost: List of the most engaged posts.
• topDomains: Most mentioned domains.
• topEmojis: Most used emojis.
• topHashtags: Most used hashtags.
• topLinks: Most shared links.
• topMedia: Media types shared and samples.
• wordcloud: Frequently used words.

Tool: get-audience-insights

Retrieves aggregated insights for a given audience ID, providing statistical distributions across various attributes. Available insights include demographics (e.g., gender, age, country), behavioral traits (e.g., active hours, platform usage), psychographics (e.g., personality traits, interests), and socioeconomic factors (e.g., income, education status).

Tool: get-baselines

Retrieves available baselines, optionally filtered by country.

Tool: get-categories

Retrieves the list of available affinity categories that can be used as the categories parameter in the compare-audience-influencers tool.

Tool: get-report-info

Retrieves detailed information about a specific intelligence report, including its status, segmentation type, audience size, segments, and access links.

Tool: get-reports

Retrieves the list of Audiense insights reports owned by the authenticated user.

Tool: report-summary

Generates a comprehensive summary of an Audiense report, including segment details, top insights, and influencers.

Use this MCP Server

{
  "mcpServers": {
    "audiense-insights": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "AUDIENSE_CLIENT_ID",
        "-e",
        "AUDIENSE_CLIENT_SECRET",
        "-e",
        "TWITTER_BEARER_TOKEN",
        "mcp/audiense-insights"
      ],
      "env": {
        "AUDIENSE_CLIENT_ID": "your_client_id_here",
        "AUDIENSE_CLIENT_SECRET": "your_client_secret_here",
        "TWITTER_BEARER_TOKEN": "your_token_here"
      }
    }
  }
}

Why is it safer to run MCP Servers with Docker?