K01 Synthetic Health Data

安全与合规

by k01labs

提供保护隐私的合成医疗数据生成能力,兼容 FHIR R4/R5 标准,适用于测试、研究与开发场景。

什么是 K01 Synthetic Health Data

提供保护隐私的合成医疗数据生成能力,兼容 FHIR R4/R5 标准,适用于测试、研究与开发场景。

README

K01 MCP Server

License: MIT MCP

Generate and query clinically realistic synthetic health data directly from your AI workflow.


K01's MCP server gives AI agents and LLM-powered tools access to privacy-preserving synthetic health data generation. Generate FHIR-compliant patient cohorts, query structured EHR data, and compare across FHIR versions — all with built-in differential privacy. No real patient data is involved at any point.

This repository contains documentation and configuration for the K01 MCP server. The server implementation is proprietary and runs on K01 infrastructure.

Available Tools

ToolDescriptionKey Parameters
generate_synthetic_cohortGenerate synthetic patient cohorts with demographic and clinical constraintscount, age_min/age_max, gender, condition (ICD-10), seed, locale
search_patientsSearch a virtual patient database with advanced healthcare filtersgender, birthdate, numberOfMedicinesFrom/To, conditionTypes, locale
get_patient_recordRetrieve a complete patient record with medication and condition summariespatient_id, fhir_version
get_patient_medicationsGet detailed medication records with ATC codes and therapeutic indicationspatient_id, seed, fhir_version
get_patient_conditionsRetrieve patient conditions with ICD-10 codes and localized namespatient_id, seed, fhir_version
compare_fhir_versionsCompare the same patient data across FHIR R4 and R5patient_id, resource_type

All tools support both FHIR R4 and R5. See docs/tools.md for full parameter documentation.

Quick Start

Claude Desktop

Add to your Claude Desktop configuration (Settings > MCP Servers):

json
{
  "mcpServers": {
    "k01": {
      "url": "https://mcp.k01.is/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Cursor

Add to your Cursor MCP configuration (.cursor/mcp.json):

json
{
  "mcpServers": {
    "k01": {
      "url": "https://mcp.k01.is/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Restart the application after adding the configuration. The K01 tools will appear in the tool list.

Authentication

The K01 MCP server uses Bearer token authentication. Include your API key in the Authorization header.

To get an API key, contact K01 at k01.is. Self-service key provisioning is coming soon.

See docs/authentication.md for details.

Examples

Generate a diabetic cohort

"Generate 100 patients aged 40-65 with Type 2 diabetes"

The generate_synthetic_cohort tool creates a FHIR Bundle with Patient, Condition, MedicationStatement, Procedure, and Observation resources:

code
generate_synthetic_cohort(count=100, age_min=40, age_max=65, condition="E11.9", seed=42)

Search for complex patients

"Find patients with 3+ medications and chronic conditions"

code
search_patients(numberOfMedicinesFrom=3, conditionTypes="chronic", _count=20)

Compare FHIR versions

"How do this patient's medications look in R4 vs R5?"

code
compare_fhir_versions(patient_id="0101302989", resource_type="Medication")

See docs/examples.md for more workflows.

Privacy and Security

All data generated by K01 is fully synthetic. No real patient data is used, stored, or referenced at any point in the pipeline.

  • Differential privacy — noise injection with configurable epsilon values ensures generated distributions cannot be reverse-engineered to identify real individuals
  • No training on real data — the generation models are built from published clinical statistics and pharmacological references, not patient records
  • FHIR-compliant output — all resources conform to HL7 FHIR R4/R5 specifications, making them safe drop-in replacements for real data in development and testing
  • Deterministic seeding — use seeds for reproducible results without persisting any patient data server-side

Links

License

This repository (documentation, configuration, and examples) is licensed under MIT. The K01 server implementation is proprietary.

常见问题

K01 Synthetic Health Data 是什么?

提供保护隐私的合成医疗数据生成能力,兼容 FHIR R4/R5 标准,适用于测试、研究与开发场景。

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