Deploy metadata components to Salesforce org
AI agents invoke deploy-metadata 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 executes a deployment operation against a Salesforce organization, making it an Execute-category tool rather than Write. While deployments modify data/configuration, they are fundamentally execution triggers whose effects are determined by the contents of the deployed metadata bundle.
From the tool's definition Tool description states 'Deploy metadata components to Salesforce org'. Deployment of metadata is an executing operation that triggers external Salesforce organization changes, including configuration, code, and structural changes that depend on the metadata…
Documented attack patterns abuse exactly the kind of access deploy-metadata 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 deploy-metadata:
{
"version": "1",
"default": "deny",
"tools": {
"deploy-metadata": {
"limits": [
{
"counter": "deploy-metadata_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} deploy-metadata 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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Deploy metadata components to Salesforce org. 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 deploy-metadata: 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.
deploy-metadata 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 deploy-metadata 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 deploy-metadata. 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.
deploy-metadata is provided by the Salesforce MCP Server MCP server (jaworjar95/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.
17 Salesforce MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.