Execute Apex code in a Salesforce Org. This command allows you to run Apex code directly against a specified Salesforce Org. The code is executed in the context of the Org, and the results are returned in JSON format. You can use this command to test Apex code snippets, run batch jobs, or perform...
AI agents invoke execute_anonymous_apex to trigger actions in Salesforce 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 allows arbitrary Apex code execution against a Salesforce organization. Apex is Salesforce's proprietary programming language with full access to org data, DML operations, HTTP callouts, and administrative functions. An AI agent with this capability could modify data, create/delete records, escalate privileges, exfiltrate sensitive information, or perform unauthorized business logic.
From the tool's definition Execute Apex code directly against a specified Salesforce Org. The code is executed in the context of the Org. Run Apex code directly, test Apex code snippets, run batch jobs, or perform other Apex-related tasks.
Documented attack patterns abuse exactly the kind of access execute_anonymous_apex gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Salesforce MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_anonymous_apex:
{
"version": "1",
"default": "deny",
"tools": {
"execute_anonymous_apex": {
"limits": [
{
"counter": "execute_anonymous_apex_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}execute_anonymous_apex stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Execute Apex code in a Salesforce Org. This command allows you to run Apex code directly against a specified Salesforce Org. The code is executed in the context of the Org, and the results are returned in JSON format. You can use this command to test Apex code snippets, run batch jobs, or perform other Apex-related tasks. You can review the debug logs of the execution to see the results of the code execution. It is categorised as a Execute tool in the Salesforce MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Salesforce MCP Server MCP server in PolicyLayer and add a rule for execute_anonymous_apex: 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 Salesforce MCP Server. Nothing to install.
execute_anonymous_apex 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_anonymous_apex 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_anonymous_apex. 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_anonymous_apex is provided by the Salesforce MCP Server MCP server (advancedcommunities/salesforce-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Salesforce 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.
41 Salesforce MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.