Fork a GitHub repository to your account or specified organization
Part of the Andy's Test API MCP Server server.
Free to start. No card required.
AI agents use fork_repository to create or modify resources in Andy's Test API MCP Server. 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 Andy's Test API MCP Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"fork_repository": {
"limits": [
{
"counter": "fork_repository_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Andy's Test API MCP Server policy for all 17 tools.
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:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Fork a GitHub repository to your account or specified organization. It is categorised as a Write tool in the Andy's Test API MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Andy's Test API MCP Server 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 Andy's Test API MCP Server. Nothing to install.
fork_repository is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
fork_repository is provided by the Andy's Test API MCP Server MCP server (AndyManastorm/smithery-reference-servers). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 17 Andy's Test API MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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