CodeLocalJournalOpen app
Series · Part 2

Connect AI clients without giving up workspace control

MCP can be the transport layer, but workspace scope, identity and approvals still need an explicit control plane.

Part 2 of 3Local Agent Foundations
View full series

Connecting an AI client to developer tools should not imply access to every repository, shell session or secret available on a computer. A useful integration begins with a logical project identity and a narrowly authorized workspace.

Treat connection and permission as different things

  • Pair the machine so requests can be routed to the intended runtime.
  • Grant the specific workspace that the AI is allowed to understand and operate on.
  • Let policy decide whether a requested action can run automatically or requires approval.
  • Keep the transport stable so multiple compatible AI clients can reuse the same governed project boundary.
npm install -g codelocal@latest
# Then pair the runtime and grant the intended workspace.