Manage OAuth 2.0 authentication for ${config.name}.
AI agents call auth as a supporting operation in Anyapi workflows.
This tool manages OAuth 2.0 authentication, which involves configuring or storing credentials/tokens rather than reading data, writing application data, executing code, or performing destructive/financial actions. It could involve writing auth configuration, but its primary purpose is credential/session management which doesn't cleanly fit Read, Write, Execute, Destructive, or Financial.
From the tool's definition Manage OAuth 2.0 authentication for ${config.name}
Documented attack patterns abuse exactly the kind of access auth gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Anyapi, and nothing reaches the server without passing your rules. This is the rule we recommend for auth:
{
"version": "1",
"default": "deny",
"tools": {
"auth": {
"limits": [
{
"counter": "auth_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} auth gets a rate cap, and everything else on the server is denied unless you say otherwise.
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Manage OAuth 2.0 authentication for ${config.name}. It is categorised as a Other tool in the Anyapi MCP Server, which means it performs auxiliary operations.
Register the Anyapi MCP server in PolicyLayer and add a rule for auth: 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 Anyapi. Nothing to install.
auth is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the auth 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 auth. 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.
auth is provided by the Anyapi MCP server (quiloos39/anyapi-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Anyapi, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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5 Anyapi tools catalogued and risk-classified — across an index of 43,000+ MCP servers.