Install or update the repo AGENTS.md policy that tells coding agents to use Kage automatically.
AI agents use kage_install_policy to create or update resources in Kage — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kage environment.
The tool writes to a repository configuration file (AGENTS.md) to enforce agent behavior policies. This is a reversible modification (can be updated or reverted in subsequent commits), so it falls under Write rather than Destructive.
From the tool's definition 'Install or update the repo AGENTS.md policy' — this modifies configuration files that control agent behavior
Documented attack patterns abuse exactly the kind of access kage_install_policy gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kage, and nothing reaches the server without passing your rules. This is the rule we recommend for kage_install_policy:
{
"version": "1",
"default": "deny",
"tools": {
"kage_install_policy": {
"limits": [
{
"counter": "kage_install_policy_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} kage_install_policy 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.
Free to start. No card required.
Install or update the repo AGENTS.md policy that tells coding agents to use Kage automatically. It is categorised as a Write tool in the Kage MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kage MCP server in PolicyLayer and add a rule for kage_install_policy: 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 Kage. Nothing to install.
kage_install_policy 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 kage_install_policy 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 kage_install_policy. 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.
kage_install_policy is provided by the Kage MCP server (@kage-core/kage-graph-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kage, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
62 Kage tools catalogued and risk-classified — across an index of 43,000+ MCP servers.