Is Magic Insights free?

Yes, Magic Insights is free to use.

How do I install Magic Insights?

Magic Insights is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Magic Insights safe to use?

Yes. Magic Insights passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Magic Insights?

Magic Insights uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Magic Insights MCP Server

by andrewchmr

Developer ToolsLow Risk10.0Remote

Free

Query your customer feedback: studies, themes, suggestions, tags, and sentiment trends.

About

Query your customer feedback: studies, themes, suggestions, tags, and sentiment trends.

Remote endpoints: streamable-http: https://app.magicinsights.ai/api/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

Endpoint verified · Requires authentication · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "ai-magicinsights-insights": {
      "url": "https://app.magicinsights.ai/api/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Magic Insights MCP server

Connect any MCP client to your Magic Insights workspace and chat with your customer-feedback studies — list studies, search and filter feedback, and read AI-generated themes, topics, suggestions, tags, and sentiment trends.

This is a remote, hosted MCP server. There's nothing to install — point your client at the URL below and authenticate with a workspace API key.

Server URL: https://app.magicinsights.ai/api/mcp
Transport: Streamable HTTP
Auth: API key (bearer token)
Official MCP registry: ai.magicinsights/insights

Get an API key

Create one in the app at Settings → API keys (https://app.magicinsights.ai → your workspace → Settings → API keys), then send it as the Authorization: Bearer <key> header.

Connect

Claude Code

claude mcp add --transport http magic-insights https://app.magicinsights.ai/api/mcp \
  --header "Authorization: Bearer YOUR_API_KEY"

Cursor

Add to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project), then enable the server in Cursor settings:

{
  "mcpServers": {
    "magic-insights": {
      "url": "https://app.magicinsights.ai/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Other clients (Claude Desktop, Windsurf, MCP Inspector, …)

Most clients use the same mcpServers block above — check your client's docs for where its config file lives. The Claude API MCP connector accepts the same URL with an authorization_token.

Tools

All tools are read-only and scoped to the workspace that owns the API key.

Tool	What it does
`get_workspace`	One-call overview: plan, study count, connected platforms, tags, total feedback, date range, overall sentiment.
`list_studies`	List all studies with description and date range.
`get_study`	A study's summary, generated report, and top themes (with sentiment, ids, and example feedback).
`list_topics`	A study's topics and the themes grouped under each.
`get_theme_feedback`	All feedback under one theme, most relevant first.
`list_suggestions`	A study's AI-synthesized recommended actions (problem, solution, priority).
`get_suggestion_feedback`	The individual feedback behind a single suggestion.
`search_feedback`	Search and filter feedback by keyword, sentiment, platform, tag, or date range.
`get_feedback`	One feedback item in full — content, translation, AI summary, and source metadata.
`get_stats`	Aggregate stats: total count, sentiment breakdown, date range.
`get_trends`	Feedback volume and sentiment over time, bucketed by week or month.
`list_tags`	The workspace's custom tags and how many items carry each.
`list_platforms`	The source platforms feeding the workspace, each with its feedback count.

About

Magic Insights is an AI-driven customer-feedback analytics platform. Learn more at magicinsights.ai.

The server's metadata is published in the official MCP registry; this repository hosts the public server.json and connection docs. The application source is closed.