AutoICD API – AI clinical coding platform for ICD-10 and SNOMED

Name: AutoICD API – AI clinical coding platform for ICD-10 and SNOMED
Availability: InStock
Author: FedeUY

by FedeUY·Mar 12, 2026·3 points·0 comments

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AI Analysis

●●SolidNiche GemSolve My ProblemSlick

Specialized medical coding API with MCP server, not just a generic LLM wrapper.

Strengths

•MCP server integration enables AI assistants to query coding logic directly.
•PHI de-identification and HIPAA compliance handled before data leaves client systems.
•Official Python and JavaScript SDKs simplify integration for health tech developers.

Weaknesses

•Clinical accuracy claims lack public benchmarks against established enterprise coding tools.
•High regulatory barrier makes adoption slower than typical developer tool APIs.

Post Description

Hi HN,

I built AutoICD, an AI-powered clinical coding platform that converts unstructured medical text into ICD-10 and SNOMED-CT codes. This is not an LLM wrapper. The platform uses a multi-layer machine learning architecture internally, combining custom-trained models with curated medical knowledge.

Platform and tooling:

- JS SDK – https://github.com/fcggamou/autoicd-js - Python SDK – https://github.com/fcggamou/autoicd-python - MCP Server – https://github.com/fcggamou/autoicd-mcp

Use cases and benefits:

- Automated ICD-10 and SNOMED coding from clinical notes - Creation of structured datasets for research and analytics - Integration with AI assistants via MCP - Scalable pipelines optimized for real-world healthcare data - Access to ICD-10 codes and metadata programmatically

Feedback from anyone working on medical AI, clinical NLP, or MCP tooling is welcome.