update_project_collaborator · QuantConnect MCP Server MCP

WHAT IT DOES

What update_project_collaborator does on QuantConnect MCP Server

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

WHY IT NEEDS A POLICY

Why update_project_collaborator needs a policy

This tool modifies project collaborator data reversibly. While it changes configuration within a trading platform, it does not execute code, trigger trades, delete data, or move money. The moderate severity reflects that misconfiguration could affect project access control or team permissions, potentially disrupting collaborative workflows, but changes are non-destructive and could be corrected.

From the tool's definition Tool description states 'Update collaborator information in a project' - the verb 'update' indicates modification of existing data (project collaborator metadata) without irreversible deletion or financial impact.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_project_collaborator Rate-limited

update_project_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.

View as policy code

policy.json

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

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches QuantConnect MCP Server, so you can run agents against it safely.

FAQ

Questions about update_project_collaborator

What does the update_project_collaborator tool do? +

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

How do I enforce a policy on update_project_collaborator? +

Register the QuantConnect MCP Server MCP server in PolicyLayer and add a rule for update_project_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 QuantConnect MCP Server. Nothing to install.

What risk level is update_project_collaborator? +

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

Can I rate-limit update_project_collaborator? +

Yes. Add a rate_limit block to the update_project_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 update_project_collaborator completely? +

Set action: deny in the PolicyLayer policy for update_project_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 update_project_collaborator? +

update_project_collaborator is provided by the QuantConnect MCP Server MCP server (mymanish9-code11/quantconnect-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.