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We had a lot of problems letting finding a balance giving technical coworkers acces to live data and AI tools. And there are multiple companies in this space that solve things in multiple ways, we happen to use https://gluondb.com which is what you describe plus BI.
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Seems like a pretty crowded space.
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We do give our customers guidance to make sure they are thinking about this properly. This typically happens during on-boarding.

We also built out pre-defined controls for common tools so they can click a button and not think about it.

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Food for thought, tool and MCP calls run locally, but every request carries the tool list and every response carries the model's tool calls, both of which pass through you. You could strip non-approved tools from the request and block calls to them in the response, based on an org allowlist. That gives you org-approved MCP/tool calls without touching the dev's machine.
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Great call. We already block certain tool schemas and flag URLs in tool-call arguments, and since we enforce org allowlists for models on every request, extending that to tools/MCP is a natural next step.
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