HealthChain — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by healthchainai · MCP Server · ★ 221

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is HealthChain safe to install? View the security audit →

About HealthChain

[![PyPI Version][pypi-version-badge]][pypi] [![Stars][stars-badge]][stars] [![Downloads][downloads-badge]][pypistats] [![License][license-badge]][license] [![Python Versions][python-versions-badge]][pypi] [![Build Status][build-badge]][build] [![AI-Assisted Development][ai-badge]][claude-md] [![Substack][substack-badge]][substack] [![Discord][discord-badge]][discord] Open-Source Python SDK for Healthcare AI The model is the easy part — the integration that blocks it from ever reaching production is the hard part. HealthChain handles it, giving your models and agents tools they can trust: type-safe FHIR resources, real-time EHR connectivity, and production-ready deployment. So what you build holds up outside the demo. Installation Quick Start <img src="https://raw.githubusercontent.com/healthchainai/Hea

agentsaiehrfhirfhir-apifhir-toolshealthcarehealthcare-ailangchainllm

Quick Facts

Stars221
Forks40
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score66.6401288468542/100
Open Issues4
Last Updated2026-08-14
Created2024-04-11
Platformsmcp, python
Est. Tokens~16k

Compatible Skills

These tools work well together with HealthChain for enhanced workflows:

  • PhysicianBench — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • fhir-mcp-server — semantic(0.49)+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • HealthFlow — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • healthcare-agents — semantic(0.45)+complementary+rare_topics+similar_pop (60%)

HealthChain alternative? Top 6 similar tools

Looking for a HealthChain alternative? If you're comparing HealthChain with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • samples by strands-agents · ⭐ 852

    Agent samples built using the Strands Agents SDK.

  • agent-builder by strands-agents · ⭐ 424

    An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder c

  • mcp-server by strands-agents · ⭐ 293

    This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite

  • DeepMCPAgent by cryxnet · ⭐ 806

    Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.

  • sdk-typescript by strands-agents · ⭐ 693

    A model-driven approach to building AI agents in just a few lines of code.

  • oreilly-ai-agents by sinanuozdemir · ⭐ 299

    An introduction to the world of AI Agents

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Frequently Asked Questions

What is HealthChain?

HealthChain is Python SDK for healthcare AI — typed, validated FHIR tools for agents, real-time EHR connectivity, production deployment ✨ 🏥. It is categorized as a MCP Server with 221 GitHub stars.

What programming language is HealthChain written in?

HealthChain is primarily written in Python. It covers topics such as agents, ai, ehr.

How do I install or use HealthChain?

You can find installation instructions and usage details in the HealthChain GitHub repository at github.com/healthchainai/HealthChain. The project has 221 stars and 40 forks, indicating an active community.

What license does HealthChain use?

HealthChain is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to HealthChain?

The top alternatives to HealthChain on Agent Skills Hub include samples, agent-builder, mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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