mcp-server-lims
The MCP Server LIMS repository hosts code for managing laboratory workflows using AI agents and MCP technology.
The MCP Server LIMS is designed to manage data associated with laboratory samples as they progress through a workflow. The system simulates a laboratory environment where samples are processed by instruments, and data is tracked at each step. The workflow includes accessioning, preparation, analysis, and report generation. The preparation step involves attaching genetic tags to samples, while the analysis step measures sample metrics. The system uses simulated instruments to demonstrate data management and tool integration, with AI agents planning and executing data management tasks. The MCP Server LIMS integrates with a database to store and manage data, and it supports AI agents in generating comprehensive workflow reports.
Features
- Simulated laboratory workflow management
- Integration with AI agents for data management
- Simulated instruments for preparation and analysis
- Database integration for data storage and retrieval
- Comprehensive workflow report generation
Tools
preparation_tool
Used to process input samples, attach genetic tags and record status
analysis_tool
Used to analyze samples through the preparation step
mcp-server-sqlite
Provides database support for saving intermediate results and final reports