Upload files to the Object Store.
AI agents use upload_object 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.
This tool creates or modifies data by uploading files to QuantConnect's Object Store. It is reversible (files can be deleted later) and does not irreversibly destroy data or execute arbitrary code.
From the tool's definition Tool description states 'Upload files to the Object Store' — a create/write operation that stores files in persistent storage.
Attacks that exploit this kind of access
Upload files to the Object Store. 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.
Register the QuantConnect MCP Server MCP server in PolicyLayer and add a rule for upload_object: 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.
upload_object 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 upload_object 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 upload_object. 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.
upload_object 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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