Low Risk

kage_contributors

Build local contributor profiles from git history: commits, recent activity, touched files, modules, ownership silos, hotspot ownership, and commit category mix.

How to control kage_contributors ↓

What kage_contributors does on Kage

AI agents call kage_contributors to retrieve information from Kage without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why kage_contributors needs a policy

This tool reads and analyzes existing git history to build contributor profiles. It retrieves data (commits, activity, file touches) without modifying, executing, or deleting anything. The blast radius if misused is low — it only exposes contributor metadata already present in git history.

From the tool's definition Build local contributor profiles from git history: commits, recent activity, touched files, modules, ownership silos, hotspot ownership, and commit category mix.

Documented attack patterns abuse exactly the kind of access kage_contributors gives an agent:

How to control kage_contributors

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_contributors:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "kage_contributors": {}
  }
}

kage_contributors is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Kage — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about kage_contributors

What does the kage_contributors tool do? +

Build local contributor profiles from git history: commits, recent activity, touched files, modules, ownership silos, hotspot ownership, and commit category mix. It is categorised as a Read tool in the Kage MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on kage_contributors? +

Register the Kage MCP server in PolicyLayer and add a rule for kage_contributors: 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.

What risk level is kage_contributors? +

kage_contributors is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit kage_contributors? +

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

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

kage_contributors 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.

Enforce policy on every Kage tool call.

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.

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