View on ApifyForge | Use on Apify Store
AI Model Governance is an MCP project maintained in the apifyforge/ai-model-governance-mcp repository. The maintainer describes its purpose as “View on ApifyForge | Use on Apify Store”. Read the project documentation for the complete scope.
The maintainer’s configuration uses https://ryanclinton--ai-model-governance-mcp.apify.actor/mcp. Check the project’s account and authentication instructions when adding the endpoint to your client.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| ai_regulatory_landscape | jurisdiction |
| legislation_tracker | topic |
| risk_tier_classification | industry |
| bias_research_monitor | topic |
| compliance_gap_analysis | framework |
| enforcement_action_search | topic |
| emerging_risk_radar | domain |
| audit_tooling_assessment | organization |
{
"mcpServers": {
"ai-model-governance-mcp": {
"url": "https://ryanclinton--ai-model-governance-mcp.apify.actor/mcp"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
The original Chromium automation reference server — simple, screenshot-driven browser control.
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Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.