AI for Governance
Building an “Agentic Middleware” for City Government: Boston’s Experiment with Model Context Protocol
Boston is experimenting with the Model Context Protocol (MCP) as a governance layer that mediates how AI systems interact with government infrastructure. In an interview co-published with Fast Company, CIO Santiago Garces explains how the city is starting with its open data portal to ensure AI tools can query reliable, real-time government data rather than outdated web sources. By creating a controlled “middleware” layer between AI agents and public systems, Boston aims to improve security, reliability, and accessibility as automated agents increasingly interact with government services.
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