Get profile view statistics for the authenticated user.
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.
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:
{
"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.
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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.
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.
get_profile_views is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
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.
Deterministic rules across all 87 LinkedIn Intelligence MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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87 LinkedIn Intelligence MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.