linkedin_get_profile

Get a LinkedIn user profile by ID, public identifier (vanity name), or profile URL. Returns name, headline, location, and other profile information.

SERVERDialogbrain SOURCEhttps://api.dialogbrain.com/mcp
Low RISK CLASS
Category Read
Parameters 11 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-saloprj-dialogbrain/linkedin-get-profile.md

What linkedin_get_profile does on Dialogbrain

AI agents call linkedin_get_profile to retrieve information from Dialogbrain without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
identifier string Yes LinkedIn member ID, public identifier (vanity name), or full profile URL

Parameters from the server's own tool schema.

Why linkedin_get_profile is rated Low

This is a read operation that queries and retrieves publicly available or authorized LinkedIn profile data. There is no creation, modification, deletion, code execution, or financial transaction involved. The blast radius is low as the tool only returns existing profile information without capability to alter data or trigger external operations.

From the tool's definition Tool retrieves profile information from LinkedIn via 'Get a LinkedIn user profile by ID, public identifier (vanity name), or profile URL' with returns of 'name, headline, location, and other profile information'.

Questions about linkedin_get_profile

What does the linkedin_get_profile tool do? +

Get a LinkedIn user profile by ID, public identifier (vanity name), or profile URL. Returns name, headline, location, and other profile information. It is categorised as a Read tool in the Dialogbrain MCP Server, which means it retrieves data without modifying state.

What parameters does linkedin_get_profile accept? +

linkedin_get_profile accepts 1 parameter: identifier. Required: identifier. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on linkedin_get_profile? +

Register the Dialogbrain MCP server in PolicyLayer and add a rule for linkedin_get_profile: 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 Dialogbrain. Nothing to install.

What risk level is linkedin_get_profile? +

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

Can I rate-limit linkedin_get_profile? +

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

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

linkedin_get_profile is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Dialogbrain, and thousands of servers like it.

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Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Dialogbrain's. Pull the full record:

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