What is Medikode MCP Server?

Medikode MCP Server enables AI assistants such as Claude Desktop, Cursor, and ChatGPT to directly access Medikode's powerful AI-driven medical coding tools through the Model Context Protocol.

What medical coding functionalities does Medikode offer?

It integrates 5 powerful tools for CPT/ICD-10 code validation, clinical chart quality assurance (QA), Explanation of Benefits (EOB) parsing, and Risk Adjustment Factor (RAF) scoring, among others.

How does Medikode integrate with AI assistants?

Medikode offers seamless integration with popular MCP-compatible AI assistants like Claude Desktop, Cursor IDE, and ChatGPT, allowing them to call Medikode's tools directly via simple configuration.

Is Medikode secure and easy to set up?

Yes, Medikode securely uses your existing Medikode API keys with established access controls. Setup is easy and fast using `npx`, requiring no local installation and minimal configuration.

Medikode

Name: Medikode
Author: medikode-ai

bymedikode-ai

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Data Science & ML

Enables AI assistants to directly access Medikode's AI-driven medical coding tools through the Model Context Protocol.

The Medikode server provides a Model Context Protocol (MCP) interface, empowering AI assistants such as Claude Desktop, Cursor, and ChatGPT to seamlessly integrate with Medikode's advanced AI-driven medical coding platform. It acts as a bridge, allowing these AI clients to utilize powerful tools for validating codes, performing QA checks on charts, parsing EOBs, calculating RAF scores, and more, all while leveraging existing Medikode API keys for secure and efficient operations.

Key Features

01Integrates 5 powerful MCP tools including code validation, chart QA, EOB parsing, and RAF scoring

02Seamless integration with AI assistants like Claude Desktop, Cursor, and ChatGPT

03Securely uses existing Medikode API keys with established access controls

04Offers fast performance through direct API access and caching

05Provides easy setup and configuration using npx without local installation

061 GitHub stars

Use Cases

01Automating the validation of CPT/ICD-10 codes against clinical documentation with AI.

02Enhancing AI assistants with advanced medical coding quality assurance capabilities.

03Streamlining the extraction of structured data from Explanation of Benefits (EOB) documents.