Epic Fhir MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Epic Fhir 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 Epic Fhir "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Epic Fhir?"
)
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 Epic Fhir MCP Server
Connect Epic electronic health records to any AI agent and query clinical data through natural conversation instead of navigating complex EHR interfaces.
Pydantic AI validates every Epic Fhir tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Patient Search — Find patients by name, date of birth, or medical record number across your Epic system
- Clinical Encounters — Review admissions, ER visits, and outpatient appointments with dates, reasons, and locations
- Lab Results & Vitals — Pull observations including blood work, vital signs, and social history with reference ranges
- Diagnoses & Conditions — List active and resolved conditions with ICD-10 codes, onset dates, and severity
- Medications & Allergies — View current prescriptions, dosage instructions, and documented allergic reactions
- Appointments & Immunizations — Check upcoming schedules and full vaccination history with lot numbers
The Epic Fhir MCP Server exposes 10 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 Epic Fhir to Pydantic AI via MCP
Follow these steps to integrate the Epic Fhir 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 10 tools from Epic Fhir with type-safe schemas
Why Use Pydantic AI with the Epic Fhir MCP Server
Pydantic AI provides unique advantages when paired with Epic Fhir 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 Epic Fhir integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Epic Fhir connection logic from agent behavior for testable, maintainable code
Epic Fhir + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Epic Fhir MCP Server delivers measurable value.
Type-safe data pipelines: query Epic Fhir with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Epic Fhir tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Epic Fhir and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Epic Fhir responses and write comprehensive agent tests
Epic Fhir MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Epic Fhir to Pydantic AI via MCP:
get_patient
Returns name, DOB, gender, race, ethnicity, address, phone, email, and all identifiers. Get patient details by ID
list_allergies
Includes substance, reaction type, severity, and clinical status. List allergies and intolerances
list_appointments
Includes date/time, provider, location, and status. List patient appointments
list_conditions
Includes ICD-10 codes, clinical status, verification status, onset date, and severity. List diagnoses and conditions
list_diagnostic_reports
Includes report type, results, conclusion, and performing organization. List diagnostic reports
list_encounters
Includes encounter type, period, reason, and location. List patient encounters/visits
list_immunizations
Includes vaccine type (CVX code), administration date, dose, site, and lot number. List immunizations
list_medications
Includes medication name, dosage, frequency, route, prescriber, and status. List medication requests
list_observations
Filter by category: vital-signs, laboratory, social-history. Includes values, units, reference ranges, and interpretation. List clinical observations
search_patients
Returns patient demographics including name, DOB, gender, address, and identifiers. Search patients by name, DOB, or MRN
Example Prompts for Epic Fhir in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Epic Fhir immediately.
"Find all patients named Smith born in 1985."
"Show me the latest lab results for patient e63wACU8F."
"List all active medications for this patient."
Troubleshooting Epic Fhir MCP Server with Pydantic AI
Common issues when connecting Epic Fhir to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiEpic Fhir + Pydantic AI FAQ
Common questions about integrating Epic Fhir 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 Epic Fhir with your favorite client
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Anthropic's agentic CLI for terminal-first development.
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Google's framework for building production AI agents.
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Microsoft's framework for multi-agent collaborative conversations.
Connect Epic Fhir to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.