MCP integration

Expose Bilinc Cloud to agent runtimes and operators.

Use the Cloud MCP adapter when you want hosted Bilinc behind a tool boundary, and use the CLI when you need direct operator workflows.

Install pathPyPI package
RuntimeHosted Cloud
InterfacePython + CLI + MCP
Releasev2.2.0
MCP server

Wire the stdio transport.

{
  "mcpServers": {
    "bilinc": {
      "command": "python",
      "args": ["-m", "bilinc.cloud_mcp"],
      "env": { "BILINC_API_KEY": "bil_live_..." }
    }
  }
}
CLI

Keep operator controls simple.

pip install -U bilinc
bilinc start
bilinc login --api-key bil_live_...
bilinc quicktest

bilinc commit --key USER_PREF --value '{"theme":"dark"}'
bilinc recall --query "user preference"
bilinc revise --key USER_PREF --value '{"theme":"light"}' --reason "user changed it"
bilinc snapshot create --label before-autonomous-run
bilinc snapshot list
bilinc diff --from-snapshot snap_...
bilinc forget --key USER_PREF --reason "superseded by profile service"
bilinc status
bilinc health

# Rollback is two stages. Execute needs the token from the preview and
# never prompts interactively, so it stays safe inside automation.
bilinc rollback preview --snapshot snap_... --reason "undo bad agent run"
bilinc rollback execute --snapshot snap_... --reason "undo bad agent run" \
  --confirmation-token <token-from-preview>
Tool surface

The 2.2.0 adapter exposes Cloud operations through a tool boundary.

The public package ships CloudClient, CLI, and the Cloud MCP adapter. Agent runtimes use BILINC_API_KEY for hosted commit, recall, and status operations.