Dingdawg Healthcare Agent

io.github.DingDawg-devPublished by GitHub account DingDawg-devv2.0.4Updated Oct 24, 2026

HIPAA-aware healthcare AI. Clinical documentation, compliance checks, audit prep. Free local tier.

VerifiedSTDIODesktop onlyLocation & LifestyleSecurity & Monitoring

Overview

AI-generated overview

A local MCP server that gives an assistant tools for patient intake, clinical summaries, HIPAA compliance checks and appointment scheduling.

What you can do
Generate structured patient intake forms and pre-populate them on the paid tier (patient_intake). Produce clinical summaries from notes, with ICD-10 and CPT code references on the paid tier (clinical_summary). Run HIPAA compliance checks with safeguard gap identification and a compliance score (hipaa_check). Schedule follow-up appointments, with conflict detection on the paid tier (appointment_scheduler). Return structured JSON and a governance receipt on every call for audit purposes.
When to use it
Useful for clinical documentation, intake form generation, compliance gap review and appointment follow-up workflows where an assistant should chain intake, compliance checking, summarization and scheduling. The free tier suits light local use; the paid tier is for LLM-powered analysis and higher volumes.
Requirements
Runs as a local process via npx, so Node.js is needed. The DINGDAWG_API_KEY environment variable is required for paid tier access; the free tier is described as running locally. A paid plan ($49/mo or $0.25 per call) is needed for unlimited calls and AI-powered analysis.
Before you install
The server handles patient health information, so verify the HIPAA claims yourself before using real PHI; the free tier is described as local-only, while the paid tier sends data to a third-party API. The DINGDAWG_API_KEY is a secret and paid usage costs money. Tools create intake forms, summaries and appointments, and every call is receipted and auditable. Summaries are informational and not medical advice.

Installation

In SourceWeft

  1. Open Dingdawg Healthcare Agent in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

bash
npx dingdawg-healthcare-agent

Claude Code

bash
claude mcp add healthcare -- npx dingdawg-healthcare-agent

Cursor

Add to .cursor/mcp.json:

json
{"mcpServers": {"healthcare": {"command": "npx", "args": ["dingdawg-healthcare-agent"], "env": {"DINGDAWG_API_KEY": "your-key"}}}}

Full Stack (all 13 agents)

bash
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

Source: README.md at commit 5e0ca4e

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v2.0.4LatestSep 16, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.