Audiense Insights MCP Server

What does “Audiense Insights” MCP Server do?

The Audiense Insights MCP Server is a Model Context Protocol (MCP) implementation that enables AI assistants, like Claude, and other MCP-compatible clients to seamlessly interact with your Audiense Insights account. Its core function is to extract marketing insights and audience analysis from Audiense reports. This includes demographic, cultural, influencer, and content engagement analytics. By linking AI agents to external data from Audiense, the server allows automated workflows that can fetch, summarize, and analyze audience reports, empowering marketers and developers to build richer, context-aware applications and automations.

List of Prompts

No prompt templates are explicitly mentioned in the available documentation or repository files.

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List of Resources

No explicit MCP resources are described in the available documentation or repository files.

List of Tools

• get-reports
  • Retrieves the list of Audiense insights reports owned by the authenticated user.
• get-report-info
  • Fetches detailed information about a specific intelligence report, such as status, segmentation type, audience size, segments, and access links.
• get-audience-insights
  • (No description provided in the documentation; presumably retrieves detailed audience insights from a report.)

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Use Cases of this MCP Server

• Automated Report Retrieval: Developers can automate the process of fetching all available Audiense reports for further analysis or integration with other systems.
• Audience Intelligence Analysis: Allows AI agents to extract and summarize key details (demographics, segmentation, audience size) from specific Audiense intelligence reports, aiding market research.
• Campaign Segmentation Insights: Enables programmatic access to segmentation information, helping marketers design targeted campaigns based on real audience data.
• Influencer & Content Analysis: Supports workflows that pull influencer and content engagement metrics, improving influencer marketing decisions and content strategy alignment.
• Integration with AI Workflows: By exposing these tools to LLMs, the server allows for conversational querying and synthesis of marketing insights during brainstorming, reporting, or campaign planning sessions.

How to set it up

Windsurf

No setup instructions provided for Windsurf platform.

Claude

1. Open the configuration file for Claude Desktop:
   • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %AppData%\Claude\claude_desktop_config.json
2. Add or update the MCP server configuration:

   "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.
4. Verify setup by checking for successful connection and available tools in Claude.

Securing API Keys:
Store API credentials in the env section of the server configuration as shown above. Do not hardcode secrets in code.

Cursor

No setup instructions provided for Cursor platform.

Cline

No setup instructions provided for Cline platform.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "audiense-insights": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “audiense-insights” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

The Audiense Insights MCP Server is focused and practical for marketing analytics, but lacks detailed documentation on prompt templates, explicit MCP resources, and setup instructions for all platforms. It is well-documented for Claude, has open-source licensing, and provides essential tools for interacting with Audiense data. However, its deprecated status and migration to a remote model limit its future utility. Overall, it is a solid, functional MCP with room for more comprehensive protocol support and cross-platform guidance.

MCP Score