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.
rating : 2 points
downloads : 5.3K
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 Accessioning
Supports entering basic sample information (such as name, mass) into the system and saving it to the database.
Preparation Tool
Simulates laboratory instruments to process samples and generates data with labels and statuses.
Analysis Tool
Processes the output data of the preparation tool and generates analysis results.
Report Generation
Integrates the data of all steps to generate an easy-to-understand workflow report.
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 Accessioning
Enter sample information into the system to generate an initial data table.
Preparation Tool
Simulate instruments to process samples and mark their statuses.
Report Generation
Integrate 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.

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
15.2K
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.9K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
47.4K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
21.2K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
46.5K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.6K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
32.5K
4.8 points

