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    Mcp Audiense Insights

    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

    17 stars
    TypeScript
    Updated Sep 26, 2025
    mcp
    modelcontextprotocol

    Table of Contents

    • ⚠️ Deprecated
    • 🚫 This repository is no longer maintained.
    • 🏆 Audiense Insights MCP Server
    • 🚀 Prerequisites
    • ⚙️ Configuring Claude Desktop
    • 🛠️ Available Tools
    • 📌 get-reports
    • 📌 get-report-info
    • 📌 get-audience-insights
    • 📌 get-baselines
    • 📌 get-categories
    • 📌 compare-audience-influencers
    • 📌 get-audience-content
    • 📌 report-summary
    • 💡 Predefined Prompts
    • 🛠️ Troubleshooting
    • Tools Not Appearing in Claude
    • Authentication Issues
    • 📜 Viewing Logs
    • For MacOS/Linux:
    • For Windows:
    • 🔐 Security Considerations
    • 📄 License

    Table of Contents

    • ⚠️ Deprecated
    • 🚫 This repository is no longer maintained.
    • 🏆 Audiense Insights MCP Server
    • 🚀 Prerequisites
    • ⚙️ Configuring Claude Desktop
    • 🛠️ Available Tools
    • 📌 get-reports
    • 📌 get-report-info
    • 📌 get-audience-insights
    • 📌 get-baselines
    • 📌 get-categories
    • 📌 compare-audience-influencers
    • 📌 get-audience-content
    • 📌 report-summary
    • 💡 Predefined Prompts
    • 🛠️ Troubleshooting
    • Tools Not Appearing in Claude
    • Authentication Issues
    • 📜 Viewing Logs
    • For MacOS/Linux:
    • For Windows:
    • 🔐 Security Considerations
    • 📄 License

    Documentation

    ⚠️ Deprecated

    🚫 This repository is no longer maintained.

    The Audiense Insights MCP has been migrated to a remote model. For more information on how to use the new remote MCP, please reach us at support@audiense.com.

    ---

    ---

    🏆 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.

    🚀 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)_

    ---

    ⚙️ Configuring Claude Desktop

    1. Open the configuration file for Claude Desktop:

    • MacOS:
    bash
    code ~/Library/Application\ Support/Claude/claude_desktop_config.json
    • Windows:
    bash
    code %AppData%\Claude\claude_desktop_config.json

    2. Add or update the following configuration:

    json
    "mcpServers": {
         "audiense-insights": {
           "command": "npx",
           "args": [
            "-y",
             "mcp-audiense-insights"
           ],
           "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.
    
    ---
    
    ### 📌 `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.
    
    ---
    
    ### 📌 `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.
    
    ---
    
    ### 📌 `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.
    
    ---
    
    ### 📌 `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.
    
    ---
    
    ### 📌 `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.
    
    ---
    
    ### 📌 `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.
    
    ---
    
    ### 📌 `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

    code
    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

    code
    ### For Windows:

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

    code
    ## 🔐 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.

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