Adding Model Context Protocol (MCP) support to your data platform enhances integration capabilities , real-time data access, and scalability while reducing development time and improving security. This investment ensures your platform remains future-proof and capable of delivering context-aware AI solutions.
https://modelcontextprotocol.io/introduction
https://github.com/modelcontextprotocol
This would allow a standardised interaction with IRIS from an LLM to :
Resources: File-like data that can be read by clients (like API responses or file contents)
Tools: Functions that can be called by the LLM (with user approval)
Prompts: Pre-written templates that help users accomplish specific tasks
As an MCP server IRIS can expose specific capabilities that an LLM can ustilise in its thinking. This is a stepping stone that can help streamline building agentic AI solutions using IRIS.
Thank you for submitting the idea. The status has been changed to "Needs review".
Stay tuned!
