Influencer Brand Safety Intelligence
@apifyforge
About Influencer Brand Safety Intelligence
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.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"influencer-brand-safety-intelligence-mcp": {
"url": "https://ryanclinton--influencer-brand-safety-intelligence-mcp.apify.actor/mcp"
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Influencer Brand Safety Intelligence?
It is an MCP server for 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.
How to use Influencer Brand Safety Intelligence?
Add the server URL to your MCP client configuration (Claude Desktop, Cursor, Windsurf, etc.) as shown in the Quick Start. Then ask your AI assistant to vet a creator using natural language, or call any of the 8 tools directly. Each tool returns scores, verdicts, and risk signals within 30–90 seconds.
Key features of Influencer Brand Safety Intelligence
- 8 targeted MCP tools covering every phase of creator vetting
- 9 parallel data sources queried simultaneously (Bluesky, Trustpilot, OFAC, etc.)
- 17 controversy keyword patterns scanned across all content
- 12 brand-unsafe content categories flagged independently
- 8 audience inauthenticity signals detected (bots, fake followers, etc.)
- 4 independent scoring models combined into a Composite Brand Fit Score (0–100)
- 5‑tier partnership verdicts from BRAND_SAFE to DO_NOT_PARTNER
- Sanctions confidence thresholding (OFAC matches at 60+ score) to reduce false positives
Use cases of Influencer Brand Safety Intelligence
- Pre‑campaign creator vetting: screen top candidates before committing budgets
- Influencer agency portfolio management: schedule recurring safety screens for all roster members
- Legal and compliance review: documented sanctions screening for talent contracts
- Crisis prevention: surface current controversy and historical archive flags
- Multi‑creator shortlist comparison: rank 2–5 creators by composite brand safety score
FAQ from Influencer Brand Safety Intelligence
What data sources does the server query?
It queries 9 parallel sources: Bluesky Social Search, Trustpilot, Multi‑Review Analyzer, OFAC Sanctions, OpenSanctions, Hacker News, Wayback Machine, Website Contact Scraper, and Website Content to Markdown.
How is the Composite Brand Fit Score calculated?
The weighted formula is: (100–brandSafety) × 0.25 + (100–authenticity) × 0.20 + controversyRisk × 0.30 + historicalRisk × 0.25. Controversy risk has the highest weight.
Does the server require a subscription or monthly fee?
No. There is no subscription, no monthly fee, and no minimum commitment. Each tool call costs $0.045.
What spending limits exist?
Each tool checks charge limits before execution and returns a structured error if the per‑run budget is reached.
Does it require API keys or custom authentication?
No. You only add the server URL to your MCP client config. The server runs on Apify’s Standby infrastructure and exposes an HTTP endpoint.
More Other MCP servers
IDA Pro MCP
mrexodiaAI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
🚀 Model Context Protocol (MCP) Curriculum for Beginners
microsoftThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Maestro
mobile-dev-incPainless E2E Automation for Mobile and Web
MCP Toolbox for Databases
googleapisMCP Toolbox for Databases is an open source MCP server for databases.
Codelf
unbugA search tool helps dev to solve the naming things problem.
Comments