Execute a Cadence script
AI agents invoke execute_script to trigger actions in Flow 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 directly executes code (Cadence scripts) on a blockchain, making it an Execute category tool. The severity is high because: (1) scripts can be arbitrary and malicious, (2) they run on a financial blockchain with access to accounts and balances, (3) misconfiguration or prompt injection could lead to unintended token transfers or asset manipulation.
From the tool's definition Tool name and description: 'execute_script' that executes 'Cadence script' — this runs arbitrary code on the Flow blockchain. Combined with sibling tools (send_transaction, get_account, get_balance), this server exposes financial operations.
Attacks that exploit this kind of access
Execute a Cadence script. It is categorised as a Execute tool in the Flow MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Flow MCP Server MCP server in PolicyLayer and add a rule for execute_script: 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 Flow MCP Server. Nothing to install.
execute_script 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 execute_script 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 execute_script. 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.
execute_script is provided by the Flow MCP Server MCP server (lmcmz/flow-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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