Low Risk

get_profile_views

Get profile view statistics for the authenticated user.

How to control get_profile_views ↓

AI agents call get_profile_views to retrieve information from LinkedIn Intelligence MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool performs a simple data retrieval operation ('get profile views') on the authenticated user's own account. It has no side effects, does not modify state, and returns only statistical information already owned by the user. This is a straightforward Read operation with minimal blast radius if misused by an agent—at worst, an agent could unnecessarily fetch statistics, causing no harm.

From the tool's definition Tool retrieves 'profile view statistics for the authenticated user' — a read-only query operation that returns analytics data with no modification, creation, or deletion of records.

Documented attack patterns abuse exactly the kind of access get_profile_views gives an agent:

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

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

get_profile_views 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 LinkedIn Intelligence MCP Server — 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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Go deeper

What does the get_profile_views tool do? +

Get profile view statistics for the authenticated user. It is categorised as a Read tool in the LinkedIn Intelligence MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_profile_views? +

Register the LinkedIn Intelligence MCP Server MCP server in PolicyLayer and add a rule for get_profile_views: 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 LinkedIn Intelligence MCP Server. Nothing to install.

What risk level is get_profile_views? +

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

Can I rate-limit get_profile_views? +

Yes. Add a rate_limit block to the get_profile_views 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 get_profile_views completely? +

Set action: deny in the PolicyLayer policy for get_profile_views. 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 get_profile_views? +

get_profile_views is provided by the LinkedIn Intelligence MCP Server MCP server (southleft/linkedin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every LinkedIn Intelligence MCP Server tool call.

Deterministic rules across all 87 LinkedIn Intelligence MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

87 LinkedIn Intelligence MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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