Execute a raw GDB command (CLI or MI).
AI agents invoke gdb_execute_command to trigger actions in Gdb Multiarch. 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 allows execution of arbitrary GDB commands, which can include operations like 'run', 'call', 'set', and other commands that trigger code execution or modify target process state.
From the tool's definition The tool name 'gdb_execute_command' and description 'Execute a raw GDB command (CLI or MI)' indicate it runs arbitrary GDB commands, which can trigger code execution, memory modifications, and external operations whose effects depend on user-supplied…
Attacks that exploit this kind of access
Execute a raw GDB command (CLI or MI). It is categorised as a Execute tool in the Gdb Multiarch MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gdb Multiarch MCP server in PolicyLayer and add a rule for gdb_execute_command: 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 Gdb Multiarch. Nothing to install.
gdb_execute_command 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 gdb_execute_command 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 gdb_execute_command. 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.
gdb_execute_command is provided by the Gdb Multiarch MCP server (sbergeron42/gdb-multiarch-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.
Teams ship this data inside their own products. See what a licence covers →