College Scorecard API MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect College Scorecard API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="College Scorecard API Assistant",
instructions=(
"You help users interact with College Scorecard API. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from College Scorecard API"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About College Scorecard API MCP Server
Empower your AI agent to orchestrate your entire higher education research workflow with College Scorecard API, the authoritative source for United States school performance and cost data. By connecting the Department of Education's API to your agent, you transform complex college searches into a natural conversation. Your agent can instantly search for schools, audit enrollment metadata, and retrieve detailed program reports without you ever touching a government portal. Whether you are a student planning your future or a researcher monitoring academic trends, your agent acts as a real-time education consultant, ensuring your data is always grounded in official, government-verified records.
The OpenAI Agents SDK auto-discovers all 6 tools from College Scorecard API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries College Scorecard API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- School Auditing — Search for thousands of US colleges and universities by name and retrieve detailed metadata, including location and website links.
- Enrollment Oversight — Retrieve latest student body size and demographics to maintain a clear view of campus scale.
- Geographic Discovery — List schools by state, city, or near specific ZIP codes to identify regional academic hubs instantly.
- Program Intelligence — Query specific fields of study and program data to understand the academic offerings of different institutions.
- Cost Analysis — Retrieve data on tuition and costs to assist in financial planning for higher education.
The College Scorecard API MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect College Scorecard API to OpenAI Agents SDK via MCP
Follow these steps to integrate the College Scorecard API MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from College Scorecard API
Why Use OpenAI Agents SDK with the College Scorecard API MCP Server
OpenAI Agents SDK provides unique advantages when paired with College Scorecard API through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
College Scorecard API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the College Scorecard API MCP Server delivers measurable value.
Automated workflows: build agents that query College Scorecard API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries College Scorecard API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through College Scorecard API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query College Scorecard API to resolve tickets, look up records, and update statuses without human intervention
College Scorecard API MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect College Scorecard API to OpenAI Agents SDK via MCP:
get_college_details
Get full details for a specific college by ID
get_fields_of_study
Get details for specific programs or fields of study
list_colleges_by_city
List schools in a specific city
list_colleges_by_state
List all schools in a specific state
list_colleges_by_zip
List schools near a specific ZIP code
search_colleges
Search for colleges and universities in the US
Example Prompts for College Scorecard API in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with College Scorecard API immediately.
"Search for schools named 'Harvard' using College Scorecard API."
"List colleges in the state of 'NY'."
"What is the student size for school ID 166027?"
Troubleshooting College Scorecard API MCP Server with OpenAI Agents SDK
Common issues when connecting College Scorecard API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
College Scorecard API + OpenAI Agents SDK FAQ
Common questions about integrating College Scorecard API MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect College Scorecard API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect College Scorecard API to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
