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higher-education-risk-mcp

MCP Tool

apifyforge/higher-education-risk-mcp

Higher education risk intelligence for any university, college, or for-profit institution — delivered through the Model Context Protocol. This MCP server connects your AI assistant to 8 live data sources and returns structured risk assessments covering accreditation standing, research integrity, federal funding dependency, and regulatory exposure.

Install

$ npx loaditout add apifyforge/higher-education-risk-mcp

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "higher-education-risk-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "higher-education-risk-mcp"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

Higher Education Risk MCP Server

> [View on ApifyForge](https://apifyforge.com/actors/mcp-servers/higher-education-risk-mcp) | [Use on Apify Store](https://apify.com/ryanclinton/higher-education-risk-mcp)

---

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf):

{
  "mcpServers": {
    "higher-education-risk-mcp": {
      "url": "https://ryanclinton--higher-education-risk-mcp.apify.actor/mcp"
    }
  }
}

---

Higher education risk intelligence for any university, college, or for-profit institution — delivered through the Model Context Protocol. This MCP server connects your AI assistant to 8 live data sources and returns structured risk assessments covering accreditation standing, research integrity, federal funding dependency, and regulatory exposure. Purpose-built for accreditors, student loan portfolio managers, state regulators, and institutional researchers who need objective institution health data without manual database searching.

The server runs in persistent standby mode on the Apify platform, accepting tool calls from Claude Desktop, Cursor, Windsurf, Cline, or any MCP-compatible client. Each request fans out to multiple data sources in parallel — CFPB complaints, Federal Register publications, OpenAlex publications, ORCID researcher profiles, USAspending awards, Grants.gov portfolios, and Wikipedia — then applies four scoring models to produce a composite risk score with plain-language signals.

What data can you extract?

| Data Point | Source | Example | |---|---|---| | 📊 Composite institution risk score (0-100) | 4 scoring models | compositeScore: 67 | | 🏛️ Accreditation risk level | CFPB + Federal Register + Wikipedia | riskLevel: "AT_RISK" | | 🔬 Research integrity index (0-100) | OpenAlex + ORCID | integrityLevel: "GOOD", score: 71 | | 💰 Federal funding total (USD) | USAspending | federalFunding: 48200000 | | 📋 Grant portfolio diversity | Grants.gov | `fundingDiversity: 5, grantCount:

Tags

ai-toolsapifyclaudecursormcpmcp-servermodel-context-protocolwindsurf

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Last updated25 days ago
Security: AREADME

Safety

Risk Levelmedium
Data Access
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Details

Sourcegithub-crawl
Last commit3/21/2026
View on GitHub→

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