广告合作
MCP.so
登录

Higher Education Risk MCP Server

@apifyforge

代码仓库主页文档

基本信息

分类

其他

最近更新

许可证

MIT

认证方式

oauth

作者

apifyforge

关于 Higher Education Risk MCP Server

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, res

Higher Education Risk MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Higher Education Risk MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

此服务需要认证，获取工具列表可能需要登录或使用服务提供方的凭据。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

What is Higher Education Risk?

Higher Education Risk is an MCP server that connects AI assistants to 8 live data sources and returns structured risk assessments for any university, college, or for-profit institution. It delivers accreditation standing, research integrity, federal funding dependency, and regulatory exposure intelligence, purpose-built for accreditors, student loan portfolio managers, state regulators, and institutional researchers.

How to use Higher Education Risk?

Configure the server in your MCP-compatible client (Claude Desktop, Cursor, Windsurf) using the provided JSON with the server URL and authorization token. Restart the client, then invoke one of the 8 available tools by naming the institution (e.g., "University of Phoenix"). The server queries up to 8 data sources in parallel and returns a structured result in 60–90 seconds.

Key features of Higher Education Risk

  • Four independent scoring models (Accreditation, Research, Financial, Regulatory)
  • Composite risk score (0–100) derived from weighted average of all models
  • Five-tier risk classification: LOW, MODERATE, ELEVATED, HIGH, CRITICAL
  • Complaint acceleration detection comparing trailing 6-month volume
  • Title IV threat scoring via Federal Register keyword scanning
  • Parallel actor orchestration with spending limit guards

Use cases of Higher Education Risk

  • Accreditation agency monitoring a portfolio of hundreds of institutions
  • Student loan portfolio management for early closure risk warnings
  • State regulatory oversight to identify complaint or flag accumulation
  • Pre-enrollment due diligence for prospective students and families
  • Institutional investor due diligence for acquisition or deal structuring

常见问题

1

What data sources does Higher Education Risk use?

It queries CFPB complaints, Federal Register, OpenAlex publications, ORCID researcher profiles, USAspending awards, Grants.gov portfolios, Wikipedia, and a deep research source.

2

How long does a single assessment take?

Most tools complete in 60–90 seconds, with all data sources queried in parallel.

3

What is the pricing per tool call?

Each tool call costs $0.045, covering the selected data source combinations.

4

Can the server handle portfolio assessments?

Yes — the `compare_peer_institutions` tool supports side-by-side ranking of 2–5 institutions simultaneously.

5

What transport or authentication does the server require?

The server uses an HTTP URL with MCP transport, and requires an `Authorization: Bearer` header with an Apify token in the client configuration.

评论

其他 分类下的更多 MCP 服务器

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

Reactive Resume

amruthpillai

A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

39.5K

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

广告合作