client_onboard
ADMIN: onboard a new client in one command — provision
This record as markdown: /tools/rosenvladimirov-odoo-claude-mcp/client-onboard.md
What client_onboard does on Odoo Claude MCP
AI agents use client_onboard to create or update resources in Odoo Claude MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Odoo Claude MCP environment.
Why client_onboard is rated Medium
Provisions a new client tenant, creating significant data and configuration changes.
From the tool's definition onboard a new client in one command — provision
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs client_onboard safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Odoo Claude MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For client_onboard, this is the rule to start with:
client_onboard stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Odoo Claude MCP, apply this rule, and every client_onboard call is checked against it from then on.
Questions about client_onboard
ADMIN: onboard a new client in one command — provision. It is categorised as a Write tool in the Odoo Claude MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Odoo Claude MCP server in PolicyLayer and add a rule for client_onboard: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Odoo Claude MCP. Nothing to install.
client_onboard is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the client_onboard rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for client_onboard. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
client_onboard is provided by the Odoo Claude MCP server (rosenvladimirov/odoo-claude-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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