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Health Gorilla MCP Server for VS Code Copilot 12 tools — connect in under 2 minutes

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Classic Setup·json
{
  "mcpServers": {
    "health-gorilla": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Health Gorilla
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High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
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* 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 VS Code Copilot via MCP

Follow these steps to integrate the Health Gorilla MCP Server with VS Code Copilot.

01

Create MCP config

Create a .vscode/mcp.json file in your project root

02

Add the server config

Paste the JSON configuration above

03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

04

Start using Health Gorilla

Ask Copilot: "Using Health Gorilla, help me..."12 tools available

Why Use VS Code Copilot with the Health Gorilla MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Health Gorilla through the Model Context Protocol.

01

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Health Gorilla + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Health Gorilla MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Health Gorilla MCP Tools for VS Code Copilot (12)

These 12 tools become available when you connect Health Gorilla to VS Code Copilot via MCP:

01

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

02

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

03

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

04

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

05

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

06

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

07

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

08

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

09

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

10

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

11

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

12

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 VS Code Copilot

Common issues when connecting Health Gorilla to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Health Gorilla + VS Code Copilot FAQ

Common questions about integrating Health Gorilla MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

Connect Health Gorilla to VS Code Copilot

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.