M

MCP Server Lims

This project demonstrates an example of an AI agent - managed laboratory information management system (LIMS) based on the MCP protocol. Through the interaction between simulated experimental instrument tools and the database, it completes the complete workflow data processing of samples from registration, preparation to analysis.
2 points
5

What is the MCP Server (LIMS)?

The MCP Server (LIMS) is a laboratory information management system based on the Model Context Protocol, aiming to achieve sample management, data analysis, and workflow automation through AI tools. It allows users to track the flow of samples in the laboratory and generate detailed reports.

How to use the MCP Server (LIMS)?

To use the MCP Server (LIMS), you need to configure the database environment first, and then call and execute laboratory workflows through AI tools. The system will automatically record the data of each step and generate the final report.

Applicable Scenarios

Suitable for laboratory sample management, data tracking, analysis, and report generation, especially for scenarios involving multiple instruments and complex processes.

Main Features

Sample AccessioningSupports entering basic sample information (such as name, mass) into the system and saving it to the database.
Preparation ToolSimulates laboratory instruments to process samples and generates data with labels and statuses.
Analysis ToolProcesses the output data of the preparation tool and generates analysis results.
Report GenerationIntegrates the data of all steps to generate an easy-to-understand workflow report.

Advantages and Limitations

Advantages
Supports complex laboratory workflow management
Achieves automated processing through AI tools
Generates detailed workflow reports
Limitations
Relies on an external database to run
May have limited performance for large datasets

How to Use

Install the MCP Server
Clone the code repository and initialize the virtual environment.
Start the Server
Activate the virtual environment and run the server script.
Configure the AI Tool
Edit the configuration file to connect to the MCP server.
Execute the Workflow
Call each step through the AI tool to generate the final report.

Usage Examples

Sample AccessioningEnter sample information into the system to generate an initial data table.
Preparation ToolSimulate instruments to process samples and mark their statuses.
Report GenerationIntegrate the data of all steps to generate a workflow report.

Frequently Asked Questions

Does the MCP server support real laboratory instruments?
How to ensure data security?
What pre - conditions are required?

Related Resources

GitHub Code Repository
Get the source code and documentation.
MCP Protocol Official Website
Learn more about the MCP protocol.
Video Tutorial
Watch a demonstration of using the MCP server.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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