search_models
Search for models using semantic search
This record as markdown: /tools/deepfates-mcp-replicate/search-models.md
What search_models does on Replicate MCP Server
AI agents call search_models to retrieve information from Replicate MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why search_models is rated Low
This tool performs a search query to discover available models. It is purely informational—it retrieves data without creating, modifying, executing, or deleting anything. No external operations are triggered, and the action is reversible with no blast radius if misused by an agent.
From the tool's definition Tool name 'search_models' and description 'Search for models using semantic search' indicate a query operation that retrieves information without modification or side effects.
Attacks that exploit this kind of access
The rule that runs search_models safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Replicate MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_models, this is the rule to start with:
search_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 Replicate MCP Server, apply this rule, and every search_models call is checked against it from then on.
Questions about search_models
Search for models using semantic search. It is categorised as a Read tool in the Replicate MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Replicate MCP Server MCP server in PolicyLayer and add a rule for search_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 Replicate MCP Server. Nothing to install.
search_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 search_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 search_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.
search_models is provided by the Replicate MCP Server MCP server (deepfates/mcp-replicate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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