This record as markdown: /tools/io-github-aifity-omnigit-mcp/get-me.md
What get_me does on GitHub
AI agents call get_me to retrieve information from GitHub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_me is rated Low
This tool retrieves user profile information without creating, modifying, or deleting any data. It is a straightforward read operation on the authenticated user's profile data. The blast radius is minimal as it only exposes profile metadata accessible to the authenticated user.
From the tool's definition Tool name 'get_me' and description 'Get my user profile' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs get_me safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_me, this is the rule to start with:
get_me is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every get_me call is checked against it from then on.
Questions about get_me
Get my user profile. It is categorised as a Read tool in the GitHub MCP Server, which means it retrieves data without modifying state.
Register the GitHub MCP server in PolicyLayer and add a rule for get_me: 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 GitHub. Nothing to install.
get_me 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_me 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_me. 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_me is provided by the GitHub MCP server (oci:ghcr.io/aifity/omnigit-mcp:0.5.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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