Creates a new publisher in Dataverse. Publishers are required for creating solutions and provide customization prefixes for schema names. Use this to establish a publisher identity before creating solutions and custom components.
AI agents use create_dataverse_publisher to create or update resources in Dataverse MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dataverse MCP Server environment.
This tool creates new publisher records, which is a reversible write operation. It does not execute arbitrary code, delete data, move money, or cause destructive changes. The impact is moderate because publishers serve as foundational entities for solutions and customization prefixes—misconfiguration could affect downstream solution development, but the action itself can be undone.
From the tool's definition Tool description states it "Creates a new publisher in Dataverse" and "provides customization prefixes for schema names." The verb "creates" indicates data is being added to the system.
Documented attack patterns abuse exactly the kind of access create_dataverse_publisher gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Dataverse MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_dataverse_publisher:
{
"version": "1",
"default": "deny",
"tools": {
"create_dataverse_publisher": {
"limits": [
{
"counter": "create_dataverse_publisher_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} create_dataverse_publisher stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Creates a new publisher in Dataverse. Publishers are required for creating solutions and provide customization prefixes for schema names. Use this to establish a publisher identity before creating solutions and custom components. It is categorised as a Write tool in the Dataverse MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for create_dataverse_publisher: 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 Dataverse MCP Server. Nothing to install.
create_dataverse_publisher is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_dataverse_publisher 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 create_dataverse_publisher. 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.
create_dataverse_publisher is provided by the Dataverse MCP Server MCP server (mwhesse/dataverse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Dataverse MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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71 Dataverse MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.