set_ai_key

Store your AI provider API key for AI-powered features (search, auto-tagging). Key is encrypted; response shows masked value only.

SERVEREasyBits SOURCE@easybits.cloud/mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/cloud-easybits-easybits/set-ai-key.md

WHAT IT DOES

What set_ai_key does on EasyBits

AI agents use set_ai_key to create or update resources in EasyBits, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your EasyBits environment.

RISK

Why set_ai_key is rated Medium

Stores sensitive credential data that enables API access to external services.

From the tool's definition Store API key for AI-powered features; encrypted; masked response.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs set_ai_key safely

PolicyLayer is an MCP gateway: it sits between your AI agents and EasyBits, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_ai_key, this is the rule to start with:

set_ai_key Rate-limited

set_ai_key stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "set_ai_key": {
      "limits": [
        {
          "counter": "set_ai_key_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect EasyBits, apply this rule, and every set_ai_key call is checked against it from then on.

FAQ

Questions about set_ai_key

What does the set_ai_key tool do? +

Store your AI provider API key for AI-powered features (search, auto-tagging). Key is encrypted; response shows masked value only. It is categorised as a Write tool in the EasyBits MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_ai_key? +

Register the EasyBits MCP server in PolicyLayer and add a rule for set_ai_key: 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 EasyBits. Nothing to install.

What risk level is set_ai_key? +

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

Can I rate-limit set_ai_key? +

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

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

set_ai_key is provided by the EasyBits MCP server (@easybits.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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