Medium Risk

create_repository

Create a new GitHub repository in your account

Part of the Model Context Protocol Server for Smithery server.

create_repository can modify Model Context Protocol Server for Smithery data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use create_repository to create or modify resources in Model Context Protocol Server for Smithery. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call create_repository repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Model Context Protocol Server for Smithery.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_repository": {
      "limits": [
        {
          "counter": "create_repository_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Model Context Protocol Server for Smithery policy for all 17 tools.

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These attack patterns abuse exactly the kind of access create_repository gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so create_repository only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the create_repository tool do? +

Create a new GitHub repository in your account. It is categorised as a Write tool in the Model Context Protocol Server for Smithery MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_repository? +

Register the Model Context Protocol Server for Smithery MCP server in PolicyLayer and add a rule for create_repository: 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 Model Context Protocol Server for Smithery. Nothing to install.

What risk level is create_repository? +

create_repository is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_repository? +

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

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

create_repository is provided by the Model Context Protocol Server for Smithery MCP server (AlexKissiJr/unreal-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Model Context Protocol Server for Smithery tool call.

Deterministic rules across all 17 Model Context Protocol Server for Smithery tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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