Health Gorilla MCP Server for CrewAI 12 tools — connect in under 2 minutes
Connect your CrewAI agents to Health Gorilla through the Vinkius — pass the Edge URL in the `mcps` parameter and every Health Gorilla tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Health Gorilla Specialist",
goal="Help users interact with Health Gorilla effectively",
backstory=(
"You are an expert at leveraging Health Gorilla tools "
"for automation and data analysis."
),
# Your Vinkius token — get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Health Gorilla "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 12 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Health Gorilla MCP Server
Connect Health Gorilla to any AI agent via MCP.
How to Connect Health Gorilla to CrewAI via MCP
Follow these steps to integrate the Health Gorilla MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py — CrewAI auto-discovers 12 tools from Health Gorilla
Why Use CrewAI with the Health Gorilla MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Health Gorilla through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Health Gorilla + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Health Gorilla MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Health Gorilla for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Health Gorilla, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Health Gorilla tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Health Gorilla against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Health Gorilla MCP Tools for CrewAI (12)
These 12 tools become available when you connect Health Gorilla to CrewAI via MCP:
cancel_lab_order
Orders in "received" or "pending" status can typically be cancelled. Orders already in "collected" or "testing" status cannot be cancelled and require lab notification. A cancellation reason is recommended for audit purposes. Use this when an order was submitted in error, the patient refused testing, or clinical circumstances have changed. Cancel a pending laboratory order
create_patient_record
Required fields: first name, last name, date of birth, and gender. Optional: address, phone, email, MRN (Medical Record Number), and insurance information. Use this to register a new patient before submitting lab orders. Returns the patient ID for use in subsequent order submissions. Create a new patient record in the Health Gorilla system
get_lab_results
Returns structured data suitable for EHR integration or clinical review. Results include timestamp of completion, pathologist sign-off (if applicable), and any critical value notifications. Use this to review patient results, identify abnormal values, or populate EHR records. Retrieve detailed laboratory results for a specific completed order
get_order_status
Status values include: "received", "in_progress", "collected", "testing", "completed", "cancelled". Returns order details, specimen collection status, lab processing information, and estimated completion time. Use this to track order progress, update patients on result timelines, or verify completion status. Check the current status of a submitted laboratory order
get_patient_demographics
Returns name, DOB, gender, contact information, MRN, and registration date. Use this to verify patient identity before order submission or to review patient registration details. Get demographic information for a registered patient
get_provider_details
Use this to verify provider credentials, obtain contact information for referrals, or confirm network participation before ordering tests. Get detailed information about a specific healthcare provider
list_orders
Optional filters: status (e.g., "pending", "completed", "cancelled") and patient_id. Each order includes order ID, patient name, test names, status, order date, and performing lab. Use this to review recent orders, track pending work, or audit ordering patterns. List laboratory orders with optional filtering by status or patient
list_patient_results
Includes test names, values, dates, and order references. Useful for trend analysis and longitudinal patient monitoring (e.g., tracking HbA1c over time, monitoring lipid panels). Use this for chronic disease management, preventive care follow-up, or comprehensive patient history review. List all laboratory results for a specific patient across all orders
match_patient
Returns match score and potential matches. Use this before creating new orders to avoid duplicate patient records and ensure results are attributed to the correct patient. Critical for data integrity in healthcare systems. Match a patient against existing records in the Health Gorilla network
search_lab_tests
Returns test names, LOINC codes, categories (chemistry, hematology, microbiology, etc.), turnaround times, and performing laboratory information. Use this to find the correct test codes (LOINC/CPT) before submitting orders, explore available diagnostic options, or verify test availability. Optional query parameter accepts free-text search. Optional category parameter filters by test type. Search the Health Gorilla lab test catalog by name, LOINC code, or category
search_providers
Results include provider name, specialty, NPI number, location, and contact information. Use this to find ordering providers, verify network participation, or locate specialists in a specific area. Optional filters: specialty (e.g., "Internal Medicine", "Cardiology") and location. Search for healthcare providers in the Health Gorilla network
submit_lab_order
The order includes patient demographics, ordering provider information, requested tests (LOINC/CPT codes), clinical indication/diagnosis (ICD-10 codes), and specimen collection details. Returns an order ID for tracking status and retrieving results. Use this to place lab orders electronically without manual paperwork. Supported test types include chemistry panels, CBC, metabolic panels, infectious disease testing, genetic testing, and radiology orders. The order is routed to the appropriate performing laboratory (Quest, LabCorp, etc.). Submit a new laboratory or radiology order through the Health Gorilla diagnostic network
Troubleshooting Health Gorilla MCP Server with CrewAI
Common issues when connecting Health Gorilla to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Health Gorilla + CrewAI FAQ
Common questions about integrating Health Gorilla MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Health Gorilla with your favorite client
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Connect Health Gorilla to CrewAI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.