Medium Risk

fork_repository

Fork a GitHub repository to your account or specified organization

Part of the Model Context Protocol Server for Smithery server.

fork_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 fork_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 fork_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": {
    "fork_repository": {
      "limits": [
        {
          "counter": "fork_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 fork_repository gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so fork_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 fork_repository tool do? +

Fork a GitHub repository to your account or specified organization. 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 fork_repository? +

Register the Model Context Protocol Server for Smithery MCP server in PolicyLayer and add a rule for fork_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 fork_repository? +

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

Can I rate-limit fork_repository? +

Yes. Add a rate_limit block to the fork_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 fork_repository completely? +

Set action: deny in the PolicyLayer policy for fork_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 fork_repository? +

fork_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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