{"type":"mcp_server","name":"mcp-audiense-insights","description":"This repository provides an MCP server that connects Claude to Audiense Insights, enabling marketing insights and audience analysis from Audiense reports, including demographic, cultural, and influencer data. This repository provides","category":"AI","language":"TypeScript","stars":18,"forks":2,"owner":"AudienseCo","github_url":"https://github.com/AudienseCo/mcp-audiense-insights","homepage":"https://audiense.com","setup":"## Setup\n\n1.  Ensure you have Node.js (v18 or higher), Claude Desktop App, Audiense Insights Account with API credentials, and optionally an X/Twitter API Bearer Token.\n2.  Install Audiense Insights Server for Claude Desktop automatically via Smithery using the command: `npx -y @smithery/cli@latest install @AudienseCo/mcp-audiense-insights --client claude`.\n3.  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`).\n4.  Add or update the `mcpServers` configuration in the Claude Desktop configuration file with the correct command, arguments (absolute path to `build/index.js`), and environment variables (AUDIENSE_CLIENT_ID, AUDIENSE_CLIENT_SECRET, TWITTER_BEARER_TOKEN).\n5.  Save the configuration file and restart Claude Desktop.","tools":"## Available Tools\n\n1.  `get-reports` (Retrieves the list of Audiense insights reports owned by the authenticated user.)\n2.  `get-report-info` (Fetches detailed information about a specific intelligence report.)\n3.  `get-audience-insights` (Retrieves aggregated insights for a given audience, including demographics, behavioral traits, psychographics, and socioeconomic factors.)\n4.  `get-baselines` (Retrieves available baseline audiences, optionally filtered by country.)\n5.  `get-categories` (Retrieves the list of available affinity categories that can be used in influencer comparisons.)\n6.  `compare-audience-influencers` (Compares influencers of a given audience with a baseline audience, providing affinity scores, baseline comparison, and uniqueness scores.)\n7.  `get-audience-content` (Retrieves audience content engagement details, including liked content, shared content, and influential content.)\n8.  `report-summary` (Generates a comprehensive summary of an Audiense report, including report metadata, audience size, segment information, top insights, and top influencers.)","faq":null,"created_at":"2025-01-31T16:14:54+00:00","updated_at":"2025-03-21T06:58:30+00:00","source_url":"https://model-context-protocol.com/servers/audiense-insights-mcp-server-audience-analysis","related_articles":[]}