MCP Server LIMS
by sheffler
This repository hosts the MCP Server code for a Laboratory Information Management System (LIMS) example. It demonstrates how an AI Agent, like Anthropic's Claude, can manage data associated with samples as they move through a laboratory workflow by interacting with a database and simulated instruments.
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What is MCP Server LIMS?
The MCP Server LIMS is a simulated laboratory information management system designed to demonstrate how AI agents can manage data across a laboratory workflow. It includes simulated instruments and a database interface, allowing an AI agent to execute steps such as accessioning, sample preparation, and analysis, ultimately generating a workflow report.
How to use MCP Server LIMS?
To use the MCP Server LIMS, you need to clone the repository, install the dependencies using uv, and configure the server with an AI agent like Claude. The README provides detailed instructions on setting up the environment, including configuring Claude Desktop or Oterm to interact with the server. The server requires the mcp-server-sqlite to be running as well.
Key features of MCP Server LIMS
Simulated laboratory workflow
Integration with AI agents (e.g., Claude)
Simulated instrument interfaces
Data management across multiple steps
Workflow report generation
MCP (Model Context Protocol) support
Use cases of MCP Server LIMS
Demonstrating AI-driven laboratory automation
Testing AI agent capabilities in managing structured data
Prototyping LIMS integrations with AI
Exploring the use of LLMs for scientific workflows
Evaluating the performance of different LLMs with complex tool interfaces
FAQ from MCP Server LIMS
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It is a protocol for defining and interacting with tools and services, allowing AI agents to understand and use them effectively.
What is the purpose of the simulated instruments?
What is the purpose of the simulated instruments?
The simulated instruments mimic real laboratory instruments, allowing the AI agent to interact with them and process samples without requiring actual hardware.
What is the role of the database?
What is the role of the database?
The database stores intermediate results and data generated during the workflow, enabling the AI agent to track samples and generate a final report.
How can I integrate this with Claude?
How can I integrate this with Claude?
The README provides configuration examples for Claude Desktop and Oterm, showing how to define the MCP server and enable Claude to use it as a tool.
What are the requirements for running this server?
What are the requirements for running this server?
You need to have Python installed, along with the uv package manager. You also need to have the mcp-server-sqlite server running for database support.