edX MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect edX through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to edX "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in edX?"
)
print(result.data)
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 edX MCP Server
Connect to edX and explore the world's largest online learning platform through natural conversation — no API key needed.
Pydantic AI validates every edX tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Course Search — Search thousands of courses by topic, university, level and language
- Course Details — Get full course info including descriptions, prerequisites and effort estimates
- Course Runs — Find upcoming and current course offerings with start dates and enrollment links
- Programs — Browse MicroMasters, Professional Certificates, XSeries and Bootcamps
- Organizations — Explore all partner universities and institutions (Harvard, MIT, Google, IBM)
- Subjects — Discover all subject categories available on the platform
The edX MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI 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 edX to Pydantic AI via MCP
Follow these steps to integrate the edX MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 8 tools from edX with type-safe schemas
Why Use Pydantic AI with the edX MCP Server
Pydantic AI provides unique advantages when paired with edX through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your edX integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your edX connection logic from agent behavior for testable, maintainable code
edX + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the edX MCP Server delivers measurable value.
Type-safe data pipelines: query edX with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple edX tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query edX and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock edX responses and write comprehensive agent tests
edX MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect edX to Pydantic AI via MCP:
get_course
Returns title, description, organization, level, subjects, pacing, estimated effort, prerequisites and available course runs. Get detailed info for a specific edX course
get_course_run
Get details for a specific course run
get_course_runs
Optionally filter by course key and status (upcoming, current, archived). Get course runs (scheduled offerings) for courses
get_organizations
Returns organization names, descriptions, logos and course counts. Includes Harvard, MIT, Berkeley, Google, IBM and many more. Get partner organizations that offer courses on edX
get_program
Get details for a specific edX program
get_subjects
Returns subject names, descriptions and course counts. Useful for discovering what topics are covered on the platform. Get course subject categories
search_courses
Supports free-text search, filtering by organization, level (beginner/intermediate/advanced), language, subject. Returns course titles, descriptions, organizations, levels, subjects and enrollment links. Search for online courses on edX
search_programs
Includes MicroMasters, Professional Certificates, XSeries and Bootcamps. Returns program titles, descriptions, course counts and type. Search for edX programs (MicroMasters, Professional Certificates, XSeries)
Example Prompts for edX in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with edX immediately.
"Find machine learning courses from Harvard."
"Show me all MicroMasters programs in Data Science."
"What organizations offer courses on edX?"
Troubleshooting edX MCP Server with Pydantic AI
Common issues when connecting edX to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiedX + Pydantic AI FAQ
Common questions about integrating edX MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect edX 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 edX to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.