This record as markdown: /tools/openclaw/mcp.md
What mcp does on OpenClaw
AI agents use mcp to create or update resources in OpenClaw, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your OpenClaw environment.
Why mcp is rated Medium
The tool manages MCP configuration and a channel bridge, which implies creating or modifying configuration state. 'Manage' typically encompasses both reading and writing, but config changes are the primary concern. No explicit destructive, financial, or execution semantics are described, though misconfiguration of an MCP server or channel bridge could have significant blast radius.
From the tool's definition 'Manage OpenClaw MCP config and channel bridge' — 'manage' implies read/write configuration changes; 'channel bridge' suggests connectivity or routing setup
Attacks that exploit this kind of access
The rule that runs mcp safely
PolicyLayer is an MCP gateway: it sits between your AI agents and OpenClaw, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For mcp, this is the rule to start with:
mcp 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 OpenClaw, apply this rule, and every mcp call is checked against it from then on.
Questions about mcp
Manage OpenClaw MCP config and channel bridge. It is categorised as a Write tool in the OpenClaw MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the OpenClaw MCP server in PolicyLayer and add a rule for mcp: 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 OpenClaw. Nothing to install.
mcp 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 mcp 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 mcp. 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.
mcp is provided by the OpenClaw MCP server (openclaw). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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