Low Risk

integrations.detect

Given a URL, ask every plugin whether it recognizes it, returning best-confidence matches so the UI can pre-fill onboarding for the right plugin.

How to control integrations.detect ↓

AI agents call integrations.detect to retrieve information from Executor without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

The tool performs passive reconnaissance against a given URL by querying plugins for recognition capabilities. It retrieves and returns metadata about plugin recognition without modifying state, executing code, or causing side effects. This is a classic Read operation—data retrieval with no blast radius beyond information disclosure about which plugins recognize a URL.

From the tool's definition Tool description states it 'ask[s] every plugin whether it recognizes it' and returns 'matches' for UI pre-filling. This is a query/detection operation with no data modification, deletion, or command execution.

Risk signalsBulk/mass operation — affects multiple targets

Documented attack patterns abuse exactly the kind of access integrations.detect gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Executor, and nothing reaches the server without passing your rules. This is the rule we recommend for integrations.detect:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "integrations.detect": {}
  }
}

integrations.detect is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Executor — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the integrations.detect tool do? +

Given a URL, ask every plugin whether it recognizes it, returning best-confidence matches so the UI can pre-fill onboarding for the right plugin. It is categorised as a Read tool in the Executor MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on integrations.detect? +

Register the Executor MCP server in PolicyLayer and add a rule for integrations.detect: 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 Executor. Nothing to install.

What risk level is integrations.detect? +

integrations.detect is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit integrations.detect? +

Yes. Add a rate_limit block to the integrations.detect 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.

How do I block integrations.detect completely? +

Set action: deny in the PolicyLayer policy for integrations.detect. 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.

What MCP server provides integrations.detect? +

integrations.detect is provided by the Executor MCP server (rhyssullivan/executor). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Executor tool call.

Deterministic rules across all 29 Executor tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

29 Executor tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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