Run a specific request from a Bruno collection
AI agents invoke bruno_run_request to trigger actions in Bruno 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.
This tool executes arbitrary API requests from a collection, which can trigger external operations and side effects. While the request definitions themselves are pre-configured in the collection, an AI agent could be manipulated into running requests that modify remote systems (via POST/PUT/DELETE), call external services, or trigger unintended state changes.
From the tool's definition Tool description states 'Run a specific request from a Bruno collection'. The verb 'Run' and the context of executing API requests indicates code/operation execution.
Attacks that exploit this kind of access
Run a specific request from a Bruno collection. It is categorised as a Execute tool in the Bruno MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Bruno MCP Server MCP server in PolicyLayer and add a rule for bruno_run_request: 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 Bruno MCP Server. Nothing to install.
bruno_run_request 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 bruno_run_request 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 bruno_run_request. 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.
bruno_run_request is provided by the Bruno MCP Server MCP server (jcr82/bruno-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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