Healthcare Document Management MCP Server
Healthcare Document Management MCP Server
A healthcare document management server built using the Model Context Protocol (MCP).
This project exposes healthcare document-management capabilities to an MCP-capable AI client through typed MCP tools. The server works with a synthetic healthcare document repository and demonstrates searching and saving document metadata through MCP.
Important: This project uses only synthetic and fictional healthcare data. It does not use real patient information.
Project Overview
The Healthcare Document Management MCP Server provides two MCP tools:
search_patient_documentSearches the synthetic healthcare document repository.
Accepts a patient ID and document type.
Returns matching document metadata.
save_document_metadataSaves metadata for a new synthetic healthcare document.
Accepts typed document metadata fields.
Validates the supplied information before modifying the repository.
The server is connected to an MCP-capable AI client in VS Code and was tested end to end.
Architecture
MCP-capable AI Client
|
| Model Context Protocol (MCP)
v
Healthcare Document Management MCP Server
|
+-----------------------------+
| |
v v
search_patient_document save_document_metadata
| |
+-------------+---------------+
|
v
Synthetic Healthcare
Document Repository
(document_metadata.json)
## Setup
### Requirements
- Python 3.11+
- uv
- Git
- VS Code with an MCP-capable AI client
### Install
Clone the repository and open the project folder:
```powershell
git clone https://github.com/prathimanr-wq/healthcare-document-mcp.git
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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/prathimanr-wq/healthcare-document-mcp'
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