list_supported_boards
List common BrainFlow boards: the --option board= alias, BrainFlow board id, and which
This record as markdown: /tools/lab-instrument-mcps/list-supported-boards.md
What list_supported_boards does on Pypi:labmcp Alicat
AI agents call list_supported_boards to retrieve information from Pypi:labmcp Alicat without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_supported_boards is rated Low
Tool retrieves supported board information with no side effects or state changes.
From the tool's definition List common BrainFlow boards, board id, alias
Attacks that exploit this kind of access
The rule that runs list_supported_boards safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:labmcp Alicat, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_supported_boards, this is the rule to start with:
list_supported_boards is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:labmcp Alicat, apply this rule, and every list_supported_boards call is checked against it from then on.
Questions about list_supported_boards
List common BrainFlow boards: the --option board= alias, BrainFlow board id, and which. It is categorised as a Read tool in the Pypi:labmcp Alicat MCP Server, which means it retrieves data without modifying state.
Register the Pypi:labmcp Alicat MCP server in PolicyLayer and add a rule for list_supported_boards: 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 Pypi:labmcp Alicat. Nothing to install.
list_supported_boards 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 list_supported_boards 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 list_supported_boards. 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.
list_supported_boards is provided by the Pypi:labmcp Alicat MCP server (pypi:labmcp-alicat). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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