get_user

Get public profile information for a GitHub user.

Server Integrations MCP shriram-vasudevan/integrations-mcp
Category Read
Risk class Low
Parameters 00 required

What get_user does on Integrations MCP

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

Why get_user needs a policy

This tool retrieves public profile information from GitHub, which is a read-only operation that queries existing data without creating, modifying, deleting, or executing any actions. The data retrieved is public by nature, limiting the sensitivity of the information exposed. The blast radius of misuse is minimal—an agent could enumerate public user profiles but cannot alter data or trigger external operations.

From the tool's definition Tool name 'get_user' and description 'Get public profile information for a GitHub user' indicate retrieval of data with no modification or side effects.

Questions about get_user

What does the get_user tool do? +

Get public profile information for a GitHub user. It is categorised as a Read tool in the Integrations MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_user? +

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

What risk level is get_user? +

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

Can I rate-limit get_user? +

Yes. Add a rate_limit block to the get_user 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_user completely? +

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

get_user is provided by the Integrations MCP server (shriram-vasudevan/integrations-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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