Welcome
Give a local AI agent a remote machine for files, tools, and code execution through MCP.
Jio connects a local AI agent to a dedicated remote workspace. The model, prompts, and conversations stay on your machine; files, dependencies, and execution move somewhere purpose-built.
Your machine
Local agent
Model, prompts, planning, and conversation history stay with you.
Connection
Jio bridge
A narrow MCP interface carries approved tool requests across the boundary.
Remote machine
Workspace
Files, dependencies, commands, and build output live in the sandbox.
What Jio does
Jio sits between an MCP-capable agent and a remote machine. It exposes a focused set of workspace tools while keeping the agent loop under your control.
Keep intelligence local
Use your preferred model, prompts, and agent without moving conversation state to a managed control plane.
Move execution remote
Run commands, install dependencies, and modify files away from your everyday development machine.
Expose tools through MCP
Connect compatible agents through a small local bridge and a standard tool interface.
Own the deployment
Self-host the workspace service without accounts, license keys, or a managed control plane.
The shortest path
Prepare a remote machine
Choose a host that is separate from your primary workstation and can be rebuilt when needed.
Configure the workspace boundary
Set the workspace root, execution permissions, resource limits, and network policy.
Register Jio with your agent
Add the local bridge as an MCP server in your agent's configuration.
Verify the boundary
Test discovery, file access, execution, and an operation that policy should reject.
The important boundary
Jio separates the agent's reasoning environment from its execution environment. It does not make generated commands trustworthy; permissions and approvals still matter.