Switch the active project context. All memory and task operations will use this project until changed.
AI agents use set_current_project to create or update resources in AgentCortex MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AgentCortex MCP environment.
This tool modifies persistent application state (the current project selection) that persists across operations and influences the behavior of other tools. While not creating new data objects like create_project would, it changes the active context in a way that affects memory and task operations going forward. This is a reversible Write operation since switching to a different project can undo the effect.
From the tool's definition Tool description states it will 'Switch the active project context' and 'All memory and task operations will use this project until changed.' This modifies the state of the system by changing which project is currently active, affecting subsequent operations.
Attacks that exploit this kind of access
Switch the active project context. All memory and task operations will use this project until changed. It is categorised as a Write tool in the AgentCortex MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AgentCortex MCP server in PolicyLayer and add a rule for set_current_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 AgentCortex MCP. Nothing to install.
set_current_project 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 set_current_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 set_current_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.
set_current_project is provided by the AgentCortex MCP server (sage-hq/agentcortex-mcp). 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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