Embrace MCP Servers: Making It Easier to Extend Your Agents

[Juice10]

What: Integrate with Model Context Protocol (MCP) servers that can provide specialized capabilities or data streams to your agent.
Why: Instead of building all functionality directly into a single AI agent, you can offload specialized tasks (e.g., advanced analytics, real-time data ingestion) to separate servers.
Questions:
Are there well-known MCP server standards or protocols we should use?
How do we handle agent-to-server authentication and data flow?
What about versioning or scaling multiple MCP servers for a large team or user base?
We’d love to hear ideas, best practices, or references for how to effectively utilize separate servers with AI agents.