sharp-on-fhir-mcp

by TerminallyLazy · ai-ml · mcp-server, glama

A clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.

Source: https://github.com/TerminallyLazy/sharp-on-fhir-mcp

Install

git clone https://github.com/TerminallyLazy/sharp-on-fhir-mcp

Tags: mcp-server, glama

Source: glama

About ai-ml MCP servers and Claude skills

ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

sharp-on-fhir-mcp is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install sharp-on-fhir-mcp?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support sharp-on-fhir-mcp?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is sharp-on-fhir-mcp free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.