🏆 Audiense Insights MCP Server
Audiense Insights MCP Server is a server based on the Model Context Protocol (MCP) that allows Claude and other MCP-compatible clients to interact with your Audiense Insights account
Overview
Audiense Insights MCP Server is a server based on the Model Context Protocol (MCP) that enables Claude and other MCP-compatible clients to interact with your Audiense Insights account, extracting marketing insights and audience analysis from Audiense reports.
To use the server, ensure you have Node.js, the Claude Desktop App, and an Audiense Insights account with API credentials. Install the server via Smithery and configure it in the Claude Desktop configuration file.
- Retrieves audience insights and marketing reports. - Provides detailed information about specific intelligence reports. - Compares influencers with baseline audiences. - Offers audience content engagement details.
- Analyzing audience demographics and engagement.
- Comparing influencer effectiveness for marketing campaigns.
- Generating detailed reports for audience analysis.
Add to your AI client
Use these steps to connect 🏆 Audiense Insights MCP Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.
Cursor
Add this to your .cursor/mcp.json file in your project root, then restart Cursor.
.cursor/mcp.json
{
"mcpServers": {
"mcp-audiense-insights-audienseco": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-audiense-insights-audienseco"
]
}
}
}Claude Desktop
Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
{
"mcpServers": {
"mcp-audiense-insights-audienseco": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-audiense-insights-audienseco"
]
}
}
}Claude Code
Add this to your project's .mcp.json file. Claude Code will detect it automatically.
.mcp.json (project root)
{
"mcpServers": {
"mcp-audiense-insights-audienseco": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-audiense-insights-audienseco"
]
}
}
}VS Code (Copilot)
Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.
.vscode/mcp.json
{
"servers": {
"mcp-audiense-insights-audienseco": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-audiense-insights-audienseco"
]
}
}
}Windsurf
Add this to your Windsurf MCP config file, then restart Windsurf.
~/.codeium/windsurf/mcp_config.json
{
"mcpServers": {
"mcp-audiense-insights-audienseco": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-audiense-insights-audienseco"
]
}
}
}Cline
Open Cline settings, navigate to MCP Servers, and add this server configuration.
Cline MCP Settings (via UI)
{
"mcpServers": {
"mcp-audiense-insights-audienseco": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-audiense-insights-audienseco"
]
}
}
}FAQ
**What are the prerequisites for using the server?**
You need Node.js (v18 or higher), Claude Desktop App, an Audiense Insights account, and optionally a Twitter API Bearer Token for enriched data.
**Is there a way to troubleshoot if tools are not appearing in Claude?**
Yes! Check the Claude Desktop logs and verify environment variables and paths.
**How can I ensure the security of my API credentials?**
Keep your API credentials secure by using environment variables and never exposing them in public repositories.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":1513,"uuid":"264900a0-e6e2-45d8-ad25-e91c9bc934bb","name":"mcp-audiense-insights","title":"🏆 Audiense Insights MCP Server","description":"Audiense Insights MCP Server is a server based on the Model Context Protocol (MCP) that allows Claude and other MCP-compatible clients to interact with your Audiense Insights account","avatar_url":"https://avatars.githubusercontent.com/u/2454008?v=4","created_at":"2025-02-20T16:08:57.471Z","updated_at":"2025-02-23T07:22:07.225Z","status":"created","author_name":"AudienseCo","author_avatar_url":"https://avatars.githubusercontent.com/u/2454008?v=4","tags":"mcp,modelcontextprotocol","category":"research-and-data","is_featured":false,"sort":1,"url":"https://github.com/AudienseCo/mcp-audiense-insights","target":"_self","content":"$29","summary":"$2a","img_url":null,"type":null,"metadata":"{\"star\":\"10\",\"license\":\"Apache-2.0 license\",\"language\":\"TypeScript\",\"is_official\":false,\"latest_commit_time\":\"2025-05-08 16:55:35\"}","user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]