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Query your customer feedback: studies, themes, suggestions, tags, and sentiment trends.
Magic Insights is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Magic Insights to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add ai.magicinsights/insights https://app.magicinsights.ai/api/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-06-25T14:40:26.188033Z",
"publishedAt": "2026-06-25T14:40:26.188033Z",
"statusChangedAt": "2026-06-25T14:40:26.188033Z"
}
},
"server": {
"name": "ai.magicinsights/insights",
"title": "Magic Insights",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://app.magicinsights.ai/api/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"isSecret": true,
"isRequired": true,
"description": "Bearer <your Magic Insights API key>. Create one at app.magicinsights.ai → Settings → API keys, then send it as: Authorization: Bearer mi_..."
}
]
}
],
"version": "0.1.1",
"repository": {
"url": "https://github.com/andrewchmr/magic-insights-mcp",
"source": "github"
},
"description": "Query your customer feedback: studies, themes, suggestions, tags, and sentiment trends."
}
}