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Overview

How the Infrastructure Works

Two kinds of plumbing — custom connectors that give agents tools, and shared database schemas that give them governed memory.

A work in progress
We've published these resources in the hope they're useful — you're welcome to copy or use anything you find on this site. We're still working through each record to optimise it for completeness and accuracy, so some entries are fuller than others for now.

Two kinds of plumbing

Agents are only as capable as what they can reach. Two things make the difference: the connectors that hand them tools, and the databases that give them a shared, governed memory.

Connectors (MCP servers) expose a tightly-scoped set of tools — only the endpoints we want an agent to have. Database schemas are where agents read and write structured information, with access controlled so each one can only touch its own area.

What's here

  • 11 custom connectors

    One per service we work with — context, tasks, storage, image generation, email, calendar, social, billing, nonprofit research, and network control.

  • Purpose-built schemas

    Design, products, forms and consent, the publication, the social pipeline, interview records, the knowledge base, link attribution, and CRM prospecting.

  • Governed by default

    Every table has row-level security on; agents reach data through a controlled path, not a master key.

How the connectors get built

Every connector is built with FastMCP and Python by our MCP agent, to spec. Hands-on direction is usually under thirty minutes — agents are genuinely good at building these.

The point of a custom connector isn't the code; it's the design. Instead of a long instruction file, an agent gets a short one and a clear set of tools — custom descriptions, only the endpoints we want, and the occasional extra gate — tuned to exactly what the work needs. Nothing more, nothing less.

You don't need all of this to start

Most of what these agents rely on has a simpler equivalent. Anywhere we use a database, you can usually start with a spreadsheet or a document — whatever you're comfortable with. Anywhere we built a custom MCP server, you can reach for a prebuilt AI connector instead of building your own.

We go further because it's where our experience pays off. Years of hands-on database work make a custom data layer feasible for us, and purpose-built MCP servers let us hand each agent a short, sharp instruction file and exactly the tools it needs — custom descriptions, only the endpoints we want, and the occasional extra gate — instead of a long manifesto or playbook. Nothing more, nothing less.

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