List users who have starred the repository.
AI agents call list_stargazers to retrieve information from GitHub Repos Manager MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns publicly available data (stargazer list) without modifying any state, triggering workflows, or performing destructive actions. It is a straightforward read operation on repository metadata. The low severity reflects minimal blast radius — even if an AI agent calls this repeatedly or unnecessarily, it only retrieves information already publicly accessible.
From the tool's definition Tool name is 'list_stargazers' and description states 'List users who have starred the repository' — a retrieval operation with no data modification or external side effects.
Documented attack patterns abuse exactly the kind of access list_stargazers gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GitHub Repos Manager MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_stargazers:
{
"version": "1",
"default": "deny",
"tools": {
"list_stargazers": {}
}
} list_stargazers is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List users who have starred the repository. It is categorised as a Read tool in the GitHub Repos Manager MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GitHub Repos Manager MCP Server MCP server in PolicyLayer and add a rule for list_stargazers: 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 Repos Manager MCP Server. Nothing to install.
list_stargazers 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 list_stargazers 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 list_stargazers. 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.
list_stargazers is provided by the GitHub Repos Manager MCP Server MCP server (kurdin/github-repos-manager-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GitHub Repos Manager MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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84 GitHub Repos Manager MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.