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MCP Server: Connecting Terminology Server to AI Agents
This video shows how the John Snow Labs Terminology Server can be used as an MCP (Model Context Protocol) server to connect AI agents with structured medical data and tools.
You’ll see how core capabilities — including terminology search, concept mapping, and document processing — can be exposed as tools that agents can call automatically.
We walk through a real notebook example where an AI agent connects to the Terminology Server via MCP, authenticates, and executes tasks using natural language prompts.
This approach allows agents to dynamically select the right tools and perform workflows such as medical code lookup, mapping, and document-level processing.
→ Demo 👉 https://terminology.demo.johnsnowlabs.dev/
📚 Documentation: https://nlp.johnsnowlabs.com/docs/en/terminology_server/term_server
Install
on AWS: https://aws.amazon.com/marketplace/pp/prodview-3hta3hebivvrk
on Azure: https://marketplace.microsoft.com/en-us/product/johnsnowlabsinc1646051154808.medical_terminology_server?tab=Overview
🔌 MCP Server (Agent Integration): https://nlp.johnsnowlabs.com/docs/en/terminology_server/features/mcp_server#mcp-server---agent-conn
📓 Code Sample Notebook:
https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/products/term_server/terminology_mcp_strands_demo.ipynb
