Returns size, memory usage, fee thresholds, and Replace-By-Fee (RBF) state. Useful for gauging current congestion and planning fees accordingly.
AI agents call rpc_mempool_info to retrieve information from Maestro MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only query into Bitcoin mempool state. It retrieves informational data about network conditions and fee metrics without modifying, executing operations, or committing financial transactions. Even in the context of a blockchain API, this is classified as Read since it merely observes and returns data.
From the tool's definition Tool description states it 'Returns size, memory usage, fee thresholds, and Replace-By-Fee (RBF) state' — these are query/retrieval operations with no side effects. The verb 'Returns' indicates data fetching only.
Documented attack patterns abuse exactly the kind of access rpc_mempool_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Maestro MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for rpc_mempool_info:
{
"version": "1",
"default": "deny",
"tools": {
"rpc_mempool_info": {}
}
} rpc_mempool_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Returns size, memory usage, fee thresholds, and Replace-By-Fee (RBF) state. Useful for gauging current congestion and planning fees accordingly. It is categorised as a Read tool in the Maestro MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Maestro MCP Server MCP server in PolicyLayer and add a rule for rpc_mempool_info: 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 Maestro MCP Server. Nothing to install.
rpc_mempool_info 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 rpc_mempool_info 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 rpc_mempool_info. 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.
rpc_mempool_info is provided by the Maestro MCP Server MCP server (maestro-org/maestro-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Maestro MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
117 Maestro MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.