Model Context Protocol (MCP) is the universal connector for AI, giving AI agents secure access to lab systems, data sources and third-party tools. Our MCP servers eliminate custom integrations and data silos, enabling AI to work across your entire lab ecosystem.
MCP is a standardized way to connect LLMs and AI agents to external systems and data sources.
Our MCP servers enable agents to work across your full scientific infrastructure
ELN: experiments, protocols, SOPs, projects and folders
Knowledge: documents, reports and papers
Inventory: consumables, compounds, cell lines, plasmids and more
Storage: boxes, plates, stocks and storage locations
Equipment: equipment management and maintenance
Requests and request templates
Datasets and visualizations
Samples: small molecules, biologicals, cell lines, tissue and more, tracked through their full lifecycle
Sample tracking: location, contents and status of every tube, rack and plate
Orders: sample requests, ordering and dose-response deliverables
Workflows: automated and manual steps for sample processing and fulfilment
Storage: freezer locations, capacity and utilization
Requests: sample requests and workflows
Our MCP Servers connect your tools with our AI solutions - no APIs needed. Our servers help you to integrate with:
Our MCP servers are configured to connect to your existing lab systems, within your security and permissions framework
When an agent needs data or needs to take an action, it calls the relevant MCP server - securely, in real time, within defined permissions
Because agents act through Mosaic and Labguru, every interaction is captured by the platform's own audit trail
AI agents are only as useful as the context they can access. Our MCPs gives them that context, in real time, across the compliant systems your lab already relies on.
See how our MCPs connect your AI assistants to the systems and data your lab already runs on.
Ask questions in everyday language across Labguru and Mosaic, from experiments and SOPs to samples, storage and inventory
Connect LLMs and AI agents to your lab systems without building custom integrations
Find samples, materials and available space faster across complex environments
Give AI the right context to work within your existing permissions and platform audit trails
See how MCP lays the foundation for the agentic, connected lab, whatever your current level of AI adoption
Book a demo today!