Audiense Insights MCP Server

Audiense Insights MCP Server

Category: Business & Commerce MCP Servers
Slug: audiense-insights-mcp-server
Source: https://github.com/AudienseCo/mcp-audiense-insights
License: Apache-2.0
Status: Archived (repository is read-only)

Overview

Audiense Insights MCP Server is a Model Context Protocol (MCP) server that lets Claude and other MCP-compatible clients access and work with data from an Audiense Insights account. It focuses on exposing demographic, cultural, influencer, and content engagement analytics derived from Audiense audience intelligence reports.

Features

• MCP-based server implementation

  • Implements the Model Context Protocol to integrate with MCP-compatible AI clients (e.g., Claude Desktop with MCP).
  • Exposes Audiense Insights data as tools/resources that AI agents can call programmatically.

• Audiense Insights integration

  • Connects to an existing Audiense Insights account.
  • Uses Audiense reports as the main data source for audience analytics.

• Demographic analysis access

  • Surfaces demographic breakdowns (e.g., age, gender, location) derived from Audiense Insights reports to AI agents.

• Cultural and interest analysis

  • Exposes cultural affinities and interests identified by Audiense (e.g., lifestyle, media preferences, topics) for a given audience.

• Influencer analysis

  • Provides access to influencer data from Audiense reports (e.g., key accounts or profiles with high relevance/affinity to the audience).

• Content engagement analysis

  • Makes content engagement metrics and patterns available to AI agents, enabling analysis of what content resonates with specific audiences.

• AI workflow enablement

  • Designed so AI agents can:
    • Query and summarize Audiense audience segments.
    • Generate audience personas using demographics and interests.
    • Suggest influencers based on affinity data.
    • Propose content topics and formats based on engagement insights.

• Docker support

  • Includes a Dockerfile for containerized deployment of the MCP server.

• Node.js project structure

  • Distributed as a Node.js package (with package.json and package-lock.json).
  • Includes Jest configuration (jest.config.js) for testing.

Technical Notes

• Compatibility: Built for Claude and other MCP-compatible clients.
• Source structure: Main implementation under src/ in the GitHub repository.

Pricing

No pricing information is provided in the available content. The repository is open source under the Apache-2.0 license; any commercial terms for the underlying Audiense Insights account are not described in the referenced material.