AI agents invoke run_project_checks to trigger actions in Mcp Flow. 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.
The tool runs project checks/tests, which involves executing code external to the MCP server—a classic Execute category action. Severity is high because misconfigured or malicious project check scripts could cause significant unintended effects (resource exhaustion, data corruption, credential exposure).
From the tool's definition Tool description states 'run the project' which triggers execution of external operations. Combined with context that this is a 'software-development loop' server with tools like 'apply_patch' and 'fix_loop', this tool executes build/test commands or scripts…
Attacks that exploit this kind of access
Auto-detect and run the project. It is categorised as a Execute tool in the Mcp Flow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Flow MCP server in PolicyLayer and add a rule for run_project_checks: 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 Mcp Flow. Nothing to install.
run_project_checks is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_project_checks 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 run_project_checks. 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.
run_project_checks is provided by the Mcp Flow MCP server (remimenguy/mcp-flow). 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.
Teams ship this data inside their own products. See what a licence covers →