plugin_execute
Execute a plugin endpoint with automatic .0n field resolution. Accepts canonical .0n fields (email.0n, fullname.0n, etc.) and auto-translates to the service
This record as markdown: /tools/io-github-0nork-0nmcp/plugin-execute.md
What plugin_execute does on 0nmcp
AI agents invoke plugin_execute to trigger actions in 0nmcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why plugin_execute is rated High
This tool triggers execution of arbitrary plugin endpoints with automatic parameter resolution. The dynamic field translation and service abstraction create significant risk of unintended side effects depending on which plugin endpoint is invoked and what fields are passed.
From the tool's definition Tool name is 'plugin_execute' with description stating 'Execute a plugin endpoint'. The verb 'Execute' combined with 'automatic .0n field resolution' and 'auto-translates to the service' indicates the tool runs external plugin code with dynamic field mapping.
Attacks that exploit this kind of access
The rule that runs plugin_execute safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 0nmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For plugin_execute, this is the rule to start with:
plugin_execute stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 0nmcp, apply this rule, and every plugin_execute call is checked against it from then on.
Questions about plugin_execute
Execute a plugin endpoint with automatic .0n field resolution. Accepts canonical .0n fields (email.0n, fullname.0n, etc.) and auto-translates to the service. It is categorised as a Execute tool in the 0nmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the 0n MCP server in PolicyLayer and add a rule for plugin_execute: 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 0nmcp. Nothing to install.
plugin_execute is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the plugin_execute 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 plugin_execute. 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.
plugin_execute is provided by the 0n MCP server (0nmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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