spraay_gpu_models
List all available GPU model shortcuts grouped by category (image, video, LLM, audio, utility). Shows shortcut names, full Replicate model IDs, and descriptions. You can also use any Replicate model by its full ID. FREE — no USDC cost.
This record as markdown: /tools/io-github-plagtech-spraay-x402-mcp/spraay-gpu-models.md
What spraay_gpu_models does on Spraay X402 Mcp
AI agents call spraay_gpu_models to retrieve information from Spraay X402 Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why spraay_gpu_models is rated Low
This tool retrieves and displays information about available GPU models without creating, modifying, deleting, or executing any operations. It is purely informational, returning a catalog of model shortcuts and their metadata. The note that it is FREE with no USDC cost further confirms no financial transactions occur. Classification as Read with low severity is appropriate for a query that returns metadata only.
From the tool's definition Tool description states it 'List[s] all available GPU model shortcuts grouped by category' and 'Shows shortcut names, full Replicate model IDs, and descriptions.' The verb 'list' and 'shows' indicate read-only retrieval of metadata about available models with…
Attacks that exploit this kind of access
The rule that runs spraay_gpu_models safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Spraay X402 Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For spraay_gpu_models, this is the rule to start with:
spraay_gpu_models is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Spraay X402 Mcp, apply this rule, and every spraay_gpu_models call is checked against it from then on.
Questions about spraay_gpu_models
List all available GPU model shortcuts grouped by category (image, video, LLM, audio, utility). Shows shortcut names, full Replicate model IDs, and descriptions. You can also use any Replicate model by its full ID. FREE — no USDC cost. It is categorised as a Read tool in the Spraay X402 Mcp MCP Server, which means it retrieves data without modifying state.
Register the Spraay X402 MCP server in PolicyLayer and add a rule for spraay_gpu_models: 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 Spraay X402 Mcp. Nothing to install.
spraay_gpu_models is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the spraay_gpu_models 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 spraay_gpu_models. 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.
spraay_gpu_models is provided by the Spraay X402 MCP server (spraay-x402-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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