Medium Risk

add_collaborator

Add a collaborator to a repository

How to control add_collaborator ↓

What add_collaborator does on Forgejo

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

Medium Risk

Why add_collaborator needs a policy

This tool modifies repository state by adding a collaborator, which changes access control and permissions. It is a Write operation because it creates/modifies data (the collaborator list and their associated permissions) reversibly. It is not Destructive since the action can be undone by removing the collaborator.

From the tool's definition 'Add a collaborator to a repository' — this creates a new access relationship by modifying repository permissions/metadata to include a new collaborator. It is reversible (the collaborator can be removed).

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

How to control add_collaborator

PolicyLayer is an MCP gateway — it sits between your AI agents and Forgejo, and nothing reaches the server without passing your rules. This is the rule we recommend for add_collaborator:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_collaborator": {
      "limits": [
        {
          "counter": "add_collaborator_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

add_collaborator 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.

  1. Create a free account and register Forgejo — 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.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about add_collaborator

What does the add_collaborator tool do? +

Add a collaborator to a repository. It is categorised as a Write tool in the Forgejo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_collaborator? +

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

What risk level is add_collaborator? +

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

Can I rate-limit add_collaborator? +

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

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

add_collaborator is provided by the Forgejo MCP server (sqcows/forgejo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Forgejo tool call.

Start from Forgejo, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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