This record as markdown: /tools/eaveluo-1panel-mcp/create-ollama-model.md
What create_ollama_model does on 1Panel MCP Server
AI agents invoke create_ollama_model to trigger actions in 1Panel 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.
Why create_ollama_model is rated High
Creating an Ollama model involves executing an operation that builds/instantiates a model resource on the server. This is more than a simple write (like creating a record) — it triggers a potentially resource-intensive external operation (model creation/pulling/building). The description is minimal ('Create Ollama model (XPack)'), so confidence is moderate.
From the tool's definition 'Create Ollama model' — triggers external model creation operation via the 1Panel API
Attacks that exploit this kind of access
The rule that runs create_ollama_model safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 1Panel MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_ollama_model, this is the rule to start with:
create_ollama_model 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.
The button opens the PolicyLayer dashboard: create your workspace, connect 1Panel MCP Server, apply this rule, and every create_ollama_model call is checked against it from then on.
Questions about create_ollama_model
Create Ollama model (XPack). It is categorised as a Execute tool in the 1Panel MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the 1Panel MCP Server MCP server in PolicyLayer and add a rule for create_ollama_model: 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 1Panel MCP Server. Nothing to install.
create_ollama_model 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 create_ollama_model 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_ollama_model. 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_ollama_model is provided by the 1Panel MCP Server MCP server (eaveluo/1panel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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