College Scorecard API MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add College Scorecard API as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to College Scorecard API. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in College Scorecard API?"
)
print(response)
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.
LlamaIndex agents combine College Scorecard API tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the College Scorecard API MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from College Scorecard API
Why Use LlamaIndex with the College Scorecard API MCP Server
LlamaIndex provides unique advantages when paired with College Scorecard API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine College Scorecard API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain College Scorecard API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query College Scorecard API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what College Scorecard API tools were called, what data was returned, and how it influenced the final answer
College Scorecard API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the College Scorecard API MCP Server delivers measurable value.
Hybrid search: combine College Scorecard API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query College Scorecard API to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying College Scorecard API for fresh data
Analytical workflows: chain College Scorecard API queries with LlamaIndex's data connectors to build multi-source analytical reports
College Scorecard API MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect College Scorecard API to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting College Scorecard API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCollege Scorecard API + LlamaIndex FAQ
Common questions about integrating College Scorecard API MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect College Scorecard API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
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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 LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.