Audiense Insights MCP Server: Boost AI Analytics & Workflows

🏆 Audiense Insights MCP Server

This server, based on the Model Context Protocol (MCP), allows Claude or any other MCP-compatible client to interact with your Audiense Insights account. It extracts marketing insights and audience analysis from Audiense reports, covering demographic, cultural, influencer, and content engagement analysis.

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🚀 Prerequisites

Before using this server, ensure you have:

• Node.js (v18 or higher)
• Claude Desktop App
• Audiense Insights Account with API credentials
• X/Twitter API Bearer Token (optional, for enriched influencer data)

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Installing via Smithery

To install Audiense Insights Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli@latest install @AudienseCo/mcp-audiense-insights --client claude

⚙️ Configuring Claude Desktop

1. Open the configuration file for Claude Desktop:

* **MacOS:**
    
            code ~/Library/Application\ Support/Claude/claude_desktop_config.json
    

* **Windows:**
    
            code %AppData%\Claude\claude_desktop_config.json
    

2. Add or update the following configuration:

   "mcpServers": {
   "audiense-insights": {
   "command": "/opt/homebrew/bin/node",
   "args": [
   "/ABSOLUTE/PATH/TO/YOUR/build/index.js"
   ],
   "env": {
   "AUDIENSE_CLIENT_ID": "your_client_id_here",
   "AUDIENSE_CLIENT_SECRET": "your_client_secret_here",
   "TWITTER_BEARER_TOKEN": "your_token_here"
   }
   }

}

3. Save the file and restart Claude Desktop.

🛠️ Available Tools

📌 get-reports

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

• Parameters : None
• Response :
  • List of reports in JSON format.

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📌 get-report-info

Description : Fetches detailed information about a specific intelligence report , including:

• Status

• Segmentation type

• Audience size

• Segments

• Access links

• Parameters :

  • report_id (string) : The ID of the intelligence report.

• Response :

  • Full report details in JSON format.
  • If the report is still processing, returns a message indicating the pending status.

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📌 get-audience-insights

Description : Retrieves aggregated insights for a given audience , including:

• Demographics : Gender, age, country.

• Behavioral traits : Active hours, platform usage.

• Psychographics : Personality traits, interests.

• Socioeconomic factors : Income, education status.

• Parameters :

  • audience_insights_id (string) : The ID of the audience insights.
  • insights (array of strings, optional) : List of specific insight names to filter.

• Response :

  • Insights formatted as a structured text list.

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📌 get-baselines

Description : Retrieves available baseline audiences , optionally filtered by country.

• Parameters :

  • country (string, optional) : ISO country code to filter by.

• Response :

  • List of baseline audiences in JSON format.

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📌 get-categories

Description : Retrieves the list of available affinity categories that can be used in influencer comparisons.

• Parameters : None
• Response :
  • List of categories in JSON format.

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📌 compare-audience-influencers

Description : Compares influencers of a given audience with a baseline audience. The baseline is determined as follows:

• If a single country represents more than 50% of the audience, that country is used as the baseline.
• Otherwise, the global baseline is used.
• If a specific segment is selected, the full audience is used as the baseline.

Each influencer comparison includes:

• Affinity (%) – How well the influencer aligns with the audience.

• Baseline Affinity (%) – The influencer’s affinity within the baseline audience.

• Uniqueness Score – How distinct the influencer is compared to the baseline.

• Parameters :

  • audience_influencers_id (string) : ID of the audience influencers.
  • baseline_audience_influencers_id (string) : ID of the baseline audience influencers.
  • cursor (number, optional) : Pagination cursor.
  • count (number, optional) : Number of items per page (default: 200).
  • bio_keyword (string, optional) : Filter influencers by bio keyword.
  • entity_type (enum:person | brand, optional): Filter by entity type.
  • followers_min (number, optional) : Minimum number of followers.
  • followers_max (number, optional) : Maximum number of followers.
  • categories (array of strings, optional) : Filter influencers by categories.
  • countries (array of strings, optional) : Filter influencers by country ISO codes.

• Response :

  • List of influencers with affinity scores, baseline comparison, and uniqueness scores in JSON format.

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📌 get-audience-content

Description : Retrieves audience content engagement details , including:

• Liked Content : Most popular posts, domains, emojis, hashtags, links, media, and a word cloud.
• Shared Content : Most shared content categorized similarly.
• Influential Content : Content from influential accounts.

Each category contains:

• popularPost: Most engaged posts.

• topDomains: Most mentioned domains.

• topEmojis: Most used emojis.

• topHashtags: Most used hashtags.

• topLinks: Most shared links.

• topMedia: Shared media.

• wordcloud: Most frequently used words.

• Parameters :

  • audience_content_id (string) : The ID of the audience content.

• Response :

  • Content engagement data in JSON format.

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📌 report-summary

Description : Generates a comprehensive summary of an Audiense report, including:

• Report metadata (title, segmentation type)

• Full audience size

• Detailed segment information

• Top insights for each segment (bio keywords, demographics, interests)

• Top influencers for each segment with comparison metrics

• Parameters :

  • report_id (string) : The ID of the intelligence report to summarize.

• Response :

  • Complete report summary in JSON format with structured data for each segment
  • For pending reports: Status message indicating the report is still processing
  • For reports without segments: Message indicating there are no segments to analyze

💡 Predefined Prompts

This server includes a preconfigured prompts

• audiense-demo: Helps analyze Audiense reports interactively.
• segment-matching: A prompt to match and compare audience segments across Audiense reports, identifying similarities, unique traits, and key insights based on demographics, interests, influencers, and engagement patterns.

Usage:

• Accepts a reportName argument to find the most relevant report.
• If an ID is provided, it searches by report ID instead.

Use case: Structured guidance for audience analysis.

🛠️ Troubleshooting

Tools Not Appearing in Claude

1. Check Claude Desktop logs:

tail -f ~/Library/Logs/Claude/mcp*.log

2. Verify environment variables are set correctly.
3. Ensure the absolute path to index.js is correct.

Authentication Issues

• Double-check OAuth credentials.
• Ensure the refresh token is still valid.
• Verify that the required API scopes are enabled.

📜 Viewing Logs

To check server logs:

For MacOS/Linux:

tail -n 20 -f ~/Library/Logs/Claude/mcp*.log

For Windows:

Get-Content -Path "$env:AppData\Claude\Logs\mcp*.log" -Wait -Tail 20

🔐 Security Considerations

• Keep API credentials secure – never expose them in public repositories.
• Use environment variables to manage sensitive data.

📄 License

This project is licensed under the Apache 2.0 License. See the LICENSE file for more details.