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dingdawg-healthcare-agent

dingdawg-healthcare-agent

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github.com/dingdawgHealth1Updated 29w ago
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About dingdawg-healthcare-agent

dingdawg-healthcare-agent is an MCP server for healthcare workflows, aimed at clinical and administrative tasks. It provides local intake and summaries, HIPAA checks, scheduling, and auditable governance receipts; paid processing adds LLM-powered analysis.

Key features

  1. 01Patient intake and form generation
  2. 02Clinical summaries with ICD-10 and CPT references
  3. 03HIPAA checks with safeguard gap identification
  4. 04Appointment scheduling
  5. 05Auditable governance receipts

Use cases

  1. 01Structure patient intake information
  2. 02Summarize clinical notes for documentation
  3. 03Identify HIPAA safeguard gaps
  4. 04Schedule follow-up appointments

MCP support

Exposes healthcare workflow tools to MCP clients, including patient_intake, clinical_summary, hipaa_check, and appointment_scheduler. Calls return structured JSON and a governance receipt.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "dingdawg-dingdawg-healthcare-agent": {
      "command": "npx",
      "args": [
        "-y",
        "dingdawg-healthcare-agent"
      ],
      "env": {
        "DINGDAWG_API_KEY": "<DINGDAWG_API_KEY>"
      }
    }
  }
}
Run commandnpx -y dingdawg-healthcare-agent
Environment variables to set
DINGDAWG_API_KEYSecretAPI key for paid tier access — get free at dingdawg.com

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmdingdawg-healthcare-agent2.0.7

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

dingdawg-healthcare-agent

Breakthrough clinical workflow bottlenecks. AI healthcare assistance that respects HIPAA from day one.

HIPAA-aware AI for patient intake, clinical summaries, compliance checking, and appointment scheduling. Free tier runs locally with zero data transmission. Paid tier provides LLM-powered clinical analysis via HIPAA-compliant API. Every action is governed and receipted.

For AI Assistants

This MCP server returns structured JSON for seamless integration:

  • ICD-10 and CPT code references in clinical summaries
  • HIPAA compliance scores with specific safeguard gap identification
  • Governance receipt on every call (audit-ready)
  • Chain-ready: patient_intake -> hipaa_check to verify compliance -> clinical_summary for documentation -> appointment_scheduler for follow-up

Composable with any MCP client: Claude Code, Cursor, VS Code, ChatGPT Desktop, Windsurf.

Install

npx dingdawg-healthcare-agent
Claude Code
claude mcp add healthcare -- npx dingdawg-healthcare-agent
Cursor

Add to .cursor/mcp.json:

{"mcpServers": {"healthcare": {"command": "npx", "args": ["dingdawg-healthcare-agent"], "env": {"DINGDAWG_API_KEY": "your-key"}}}}
Full Stack (all 13 agents)
npx dingdawg-setup

Tools

ToolFree TierPaid Tier
patient_intake10/day, structured form generationUnlimited, AI-powered intake with pre-population
clinical_summary5/day, basic summary from notesUnlimited, LLM-powered with ICD-10/CPT coding
hipaa_check10/day, checklist-based complianceUnlimited, deep HIPAA gap analysis with remediation
appointment_scheduler10/day, basic schedulingUnlimited, AI-optimized scheduling with conflict detection

Pricing

  • Free: 10 intakes/day, local processing (no data leaves your machine)
  • Pro: $49/mo, 100 calls/day, AI-powered clinical analysis
  • Pay-as-you-go: $0.25/call, no commitment

Get API key: https://dingdawg.com/developers

Governed

Every call is receipted and auditable. HIPAA checks reference specific administrative, physical, and technical safeguards (45 CFR Part 164). Clinical summaries include disclaimer that content is for informational purposes and does not constitute medical advice. All PHI processing on paid tier uses HIPAA-compliant infrastructure.

Support

[email protected] | https://dingdawg.com

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