Audiense Insights

공식

Audiense 보고서의 마케팅 인사이트 및 잠재고객 분석으로, 인구통계, 문화, 인플루언서 및 콘텐츠 참여 분석을 포함합니다.

Audiense Insights MCP(으)로 무엇을 할 수 있나요?

  • Audiense 보고서 목록 확인get-reports를 사용하여 사용 가능한 모든 인사이트 보고서를 검색하도록 어시스턴트에 요청하세요.
  • 전체 보고서 요약report-summary를 통해 세그먼트, 주요 인사이트 및 인플루언서에 대한 구조화된 개요를 요청하세요.
  • 잠재고객 인구통계 및 심리통계 확인get-audience-insights로 연령, 관심사, 성격과 같은 집계된 특성을 가져오세요.
  • 인플루언서를 기준선과 비교compare-audience-influencers를 사용하여 잠재고객에 대한 고유하고 높은 연관성을 가진 인플루언서를 식별하세요.
  • 콘텐츠 참여도 분석get-audience-content로 잠재고객의 주요 게시물, 해시태그, 도메인 및 공유 링크를 탐색하세요.

문서

⚠️ 지원 종료

🚫 이 저장소는 더 이상 유지 관리되지 않습니다.

Audiense Insights MCP는 원격 모델로 마이그레이션되었습니다. 새로운 원격 MCP 사용 방법에 대한 자세한 내용은 support@audiense.com으로 문의해 주시기 바랍니다.



🏆 Audiense Insights MCP 서버

이 서버는 모델 컨텍스트 프로토콜(MCP)을 기반으로 하며, Claude 또는 기타 MCP 호환 클라이언트가 귀하의 Audiense Insights 계정과 상호 작용할 수 있도록 합니다. Audiense 보고서에서 인구통계, 문화, 인플루언서 및 콘텐츠 참여 분석을 포괄하는 마케팅 인사이트와 오디언스 분석을 추출합니다.

🚀 사전 요구 사항

이 서버를 사용하기 전에 다음 사항을 확인하십시오:

  • Node.js (v18 이상)
  • Claude 데스크톱 앱
  • API 자격 증명이 포함된 Audiense Insights 계정
  • X/Twitter API Bearer Token (인플루언서 데이터 보강을 위한 선택 사항)

⚙️ Claude 데스크톱 구성

  1. Claude 데스크톱의 구성 파일을 엽니다:

    • MacOS:
      code ~/Library/Application\ Support/Claude/claude_desktop_config.json
      
    • Windows:
      code %AppData%\Claude\claude_desktop_config.json
      
  2. 다음 구성을 추가하거나 업데이트합니다:

    "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
  1. Verify environment variables are set correctly.
  2. 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

🔐 보안 고려 사항

  • API 자격 증명을 안전하게 보관하고 공개 저장소에 노출하지 마십시오.
  • 환경 변수를 사용하여 민감한 데이터를 관리하십시오.

📄 라이선스

이 프로젝트는 Apache 2.0 라이선스에 따라 사용이 허가됩니다. 자세한 내용은 LICENSE 파일을 참조하십시오.