Audiense Insights MCP Server: Bring Professional Audience Intelligence to Claude

Note: This repository is deprecated. The Audiense Insights MCP has migrated to a remote model. Contact [email protected] for access to the new implementation.

Turn Claude into your audience intelligence analyst. This MCP server connected Claude directly to Audiense Insights accounts, letting you query demographic data, analyze influencer networks, and extract content engagement patterns through natural conversation.

The Problem: Audience Data Trapped in Dashboards

You have rich audience intelligence sitting in Audiense Insights, but accessing it means:

• Switching between tools constantly
• Manually copying data for analysis
• Losing context when moving between platforms
• No way to combine insights with other data sources in your workflow

What This MCP Server Delivered

Direct access to your Audiense data through Claude's interface:

Audience Demographics: Pull gender, age, and geographic breakdowns with a simple question Influencer Analysis: Compare audience influencers against baselines, get affinity scores and uniqueness metrics Content Intelligence: Extract trending hashtags, popular domains, engagement patterns, and word clouds Report Summaries: Generate comprehensive overviews of multi-segment reports with key insights highlighted

Real-World Use Cases

Campaign Planning: "Show me the top influencers for my B2B SaaS audience in Germany and compare their engagement patterns"

Competitive Analysis: "Compare the content preferences between our audience and the broader tech industry baseline"

Content Strategy: "What hashtags and topics drive the most engagement for our audience segments?"

Client Reporting: "Generate a summary of the Q4 audience report with key demographic shifts and top-performing content themes"

How It Worked

The server provided eight specialized tools:

• get-reports - List all your Audiense reports
• get-audience-insights - Pull demographic and psychographic data
• compare-audience-influencers - Analyze influencer networks with baseline comparisons
• get-audience-content - Extract content engagement patterns
• report-summary - Generate comprehensive report overviews

Plus built-in prompts for common workflows like segment matching and interactive report analysis.

Integration Experience

Five-minute setup through Claude Desktop configuration. Add your Audiense API credentials, restart Claude, and immediately start querying your audience data conversationally.

"audiense-insights": {
  "command": "npx",
  "args": ["-y", "mcp-audiense-insights"],
  "env": {
    "AUDIENSE_CLIENT_ID": "your_client_id",
    "AUDIENSE_CLIENT_SECRET": "your_client_secret"
  }
}

Why This Mattered

Instead of logging into multiple platforms and manually correlating data, you could ask Claude: "What are the key differences between segments 1 and 3 in terms of influencer preferences and content engagement?" and get a structured analysis immediately.

The server handled OAuth authentication, data formatting, and API rate limiting automatically, letting you focus on insights rather than integration complexity.

Current Status

While this local implementation is deprecated, Audiense has moved to a remote MCP model that provides the same functionality without local setup requirements. Contact [email protected] to access the new implementation and bring your audience intelligence directly into Claude's workflow.

The core value proposition remains: transform how you access and analyze audience data by making it conversational and contextual within your AI assistant.