High Risk →

stop_live_algorithm

Stop a live algorithm. Args: project_id: ID of the project with the live algorithm to stop Returns: Dictionary containing stop result

How to control stop_live_algorithm ↓

AI agents invoke stop_live_algorithm to trigger actions in QuantConnect MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Stopping a live algorithm is an execute action—it triggers an external operation that halts an active trading process. While not destructive (data isn't deleted) or financial in itself, it directly controls live trading operations and has significant real-world consequences if misused by an AI agent (e.g., stopping the wrong algorithm, disrupting legitimate trading).

From the tool's definition Tool name 'stop_live_algorithm' and description 'Stop a live algorithm' indicate an action that terminates an active trading process.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "stop_live_algorithm": {
      "limits": [
        {
          "counter": "stop_live_algorithm_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

stop_live_algorithm stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register QuantConnect MCP Server — 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.
RATE-LIMIT THIS TOOL →

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Go deeper

What does the stop_live_algorithm tool do? +

Stop a live algorithm. Args: project_id: ID of the project with the live algorithm to stop Returns: Dictionary containing stop result. It is categorised as a Execute tool in the QuantConnect MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on stop_live_algorithm? +

Register the QuantConnect MCP Server MCP server in PolicyLayer and add a rule for stop_live_algorithm: 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 stop_live_algorithm? +

stop_live_algorithm is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit stop_live_algorithm? +

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

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

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

Enforce policy on every QuantConnect MCP Server tool call.

Deterministic rules across all 50 QuantConnect MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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50 QuantConnect MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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