Databricks Blog
AI Gateway: How to Connect Agents to External MCPs Securely
β’1 min readβ’
#mcp#deployment#agenticworkflows#compute
Level:Intermediate
For:ML Engineers, Data Scientists, AI Product Managers
β¦TL;DR
The AI Gateway enables secure connections between agents and external Model Serving Containers (MCPs), allowing for streamlined model management and deployment. This development is significant as it enhances the security and flexibility of agent-MCP interactions, facilitating more efficient and reliable AI workflows.
β‘ Key Takeaways
- The AI Gateway provides a secure connection between agents and external MCPs, ensuring encrypted data transfer and authentication.
- This feature enables customers to manage models, MCPs, and tools through Databricks, simplifying the model deployment process.
- The AI Gateway supports the Week of Agents initiative, promoting more efficient and scalable AI workflows.
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