apifyforge/influencer-brand-safety-intelligence-mcp
Influencer brand safety screening for AI agents and brand teams — this MCP server delivers automated creator vetting, controversy risk analysis, audience authenticity scoring, and sanctions screening through 8 callable tools that orchestrate 9 parallel data sources.
Platform-specific configuration:
{
"mcpServers": {
"influencer-brand-safety-intelligence-mcp": {
"command": "npx",
"args": [
"-y",
"influencer-brand-safety-intelligence-mcp"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
> [View on ApifyForge](https://apifyforge.com/actors/mcp-servers/influencer-brand-safety-intelligence-mcp) | [Use on Apify Store](https://apify.com/ryanclinton/influencer-brand-safety-intelligence-mcp)
---
Add to your MCP client (Claude Desktop, Cursor, Windsurf):
{
"mcpServers": {
"influencer-brand-safety-intelligence-mcp": {
"url": "https://ryanclinton--influencer-brand-safety-intelligence-mcp.apify.actor/mcp"
}
}
}---
Influencer brand safety screening for AI agents and brand teams — this MCP server delivers automated creator vetting, controversy risk analysis, audience authenticity scoring, and sanctions screening through 8 callable tools that orchestrate 9 parallel data sources. Built for brand marketers, influencer agencies, legal and compliance teams, and PR risk managers who need structured, data-driven intelligence before committing partnership budgets.
The server runs on Apify's Standby infrastructure and exposes an HTTP endpoint that any MCP-compatible client can call. Each tool dispatches parallel requests across social media, review platforms, sanctions lists, historical archives, and web presence data — then runs them through 4 scoring models to produce a Composite Brand Fit Score (0-100) with a 5-tier partnership verdict. There is no subscription, no monthly fee, and no minimum commitment.
| Data Point | Source | Example | |---|---|---| | 📡 Social media posts and engagement patterns | Bluesky Social Search | 47 posts, 12 controversy flags detected | | ⭐ Consumer review sentiment | Trustpilot Review Analyzer | 3.1/5 avg, 38% negative reviews | | 🌐 Cross-platform review aggregation | Multi-Review Analyzer | Google + Yelp: 142 reviews analyzed | | 🛡️ US Treasury SDN list screening | OFAC Sanctions Search | 0 matches (CLEAR) / 1 match (REVIEW_REQUIRED) | | 🌍 Multi-jurisdiction watchlist and PEP flags | Ope
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