List the details of a project or a set of recent projects.
AI agents call read_project to retrieve information from QuantConnect without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and lists project information with no side effects. It is a read-only operation that queries existing data in the QuantConnect system. The low severity reflects minimal risk even if misused by an AI agent, as it only exposes project metadata without enabling changes or financial transactions.
From the tool's definition Tool name 'read_project' and description 'List the details of a project or a set of recent projects' indicate retrieval of project metadata without modification, deletion, or execution.
Documented attack patterns abuse exactly the kind of access read_project gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and QuantConnect, and nothing reaches the server without passing your rules. This is the rule we recommend for read_project:
{
"version": "1",
"default": "deny",
"tools": {
"read_project": {}
}
}read_project is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List the details of a project or a set of recent projects. It is categorised as a Read tool in the QuantConnect MCP Server, which means it retrieves data without modifying state.
Register the QuantConnect MCP server in PolicyLayer and add a rule for read_project: 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. Nothing to install.
read_project is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the read_project 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 read_project. 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.
read_project is provided by the QuantConnect MCP server (quantconnect/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 64 QuantConnect tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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64 QuantConnect tools catalogued and risk-classified — across an index of 42,500+ MCP servers.