Mcp Askcpg
What is Mcp Askcpg
mcp-askcpg is a Python package that enables clinicians and developers to query Malaysian Clinical Practice Guidelines (CPGs) using natural language, utilizing the MCP server for structured responses based on official CPG references.
Use cases
Use cases for mcp-askcpg include querying specific clinical procedures, integrating guideline access into healthcare applications, and supporting clinical decision-making with evidence-based information.
How to use
To use mcp-askcpg, install the package via pip with the command ‘pip install mcp-askcpg’. After installation, configure the environment with the required API key and backend settings, then run the server to start querying clinical guidelines.
Key features
Key features of mcp-askcpg include natural language querying of clinical guidelines, structured response generation based on official references, and easy integration with existing systems through manual configuration.
Where to use
mcp-askcpg can be used in healthcare settings, particularly by clinicians, pharmacists, and developers who need to access and implement clinical practice guidelines efficiently.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Askcpg
mcp-askcpg is a Python package that enables clinicians and developers to query Malaysian Clinical Practice Guidelines (CPGs) using natural language, utilizing the MCP server for structured responses based on official CPG references.
Use cases
Use cases for mcp-askcpg include querying specific clinical procedures, integrating guideline access into healthcare applications, and supporting clinical decision-making with evidence-based information.
How to use
To use mcp-askcpg, install the package via pip with the command ‘pip install mcp-askcpg’. After installation, configure the environment with the required API key and backend settings, then run the server to start querying clinical guidelines.
Key features
Key features of mcp-askcpg include natural language querying of clinical guidelines, structured response generation based on official references, and easy integration with existing systems through manual configuration.
Where to use
mcp-askcpg can be used in healthcare settings, particularly by clinicians, pharmacists, and developers who need to access and implement clinical practice guidelines efficiently.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Qmed-AskCPG
Qmed-AskCPG is a Python package that allows clinicians and developers to query Malaysian Clinical Practice Guidelines (CPGs) using natural language. It leverages the MCP (Medical Content Pipeline) server to return structured responses based on official CPG references.
📦 PyPI: https://pypi.org/project/mcp-askcpg/
🔧 Installation
Install the package via pip:
pip install mcp-askcpg
⚙️ Manual Configuration (Example)
If you are using a uvx-based setup or a JSON-based task runner, you can manually configure the environment as follows:
Note: Please contact the maintainer to obtain your
ASKCPG_API_KEYandASKCPG_BACKENDvalues.
💬 Example Query
Once the server is running, you can ask a question like:
Please tell me the procedure of stroke management in CPG?
The system will return a structured response based on Malaysia’s official clinical guidelines.
📚 References
This project is built on the MCP structured reference system:
🔗 https://github.com/adhikasp/mcp-twikit
🚀 How We Published to PyPI
We followed this excellent guide for publishing directly from GitHub:
📝 Publishing a Python Package to PyPI in 2024
📩 Contact
For access credentials or collaboration inquiries, please contact the Qmed Asia team.
🏥 About Qmed Asia
Qmed Asia is a health technology company focused on building digital tools for clinicians and pharmacists. Our goal is to make evidence-based medicine more accessible and actionable through intelligent clinical infrastructure.
🏷️ Tags
clinical-guidelines • malaysia • medical-ai • nlp • mcp • python • healthtech
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
