Low Risk

queryVectors

Query vectorized files in a group using semantic search

How to control queryVectors ↓

What queryVectors does on Pinata MCP

AI agents call queryVectors to retrieve information from Pinata MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why queryVectors needs a policy

This tool searches or retrieves data from vectorized files without creating, modifying, deleting, or executing operations. It is a read-only query operation that returns semantic search results. The blast radius is minimal since misuse would only expose queried data, not corrupt or destroy it.

From the tool's definition queryVectors performs a 'query' operation on vectorized files, described as 'semantic search' — a retrieval operation with no modification, deletion, or execution of code.

Documented attack patterns abuse exactly the kind of access queryVectors gives an agent:

How to control queryVectors

PolicyLayer is an MCP gateway — it sits between your AI agents and Pinata MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for queryVectors:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "queryVectors": {}
  }
}

queryVectors is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Pinata MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about queryVectors

What does the queryVectors tool do? +

Query vectorized files in a group using semantic search. It is categorised as a Read tool in the Pinata MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on queryVectors? +

Register the Pinata MCP server in PolicyLayer and add a rule for queryVectors: 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 Pinata MCP. Nothing to install.

What risk level is queryVectors? +

queryVectors is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit queryVectors? +

Yes. Add a rate_limit block to the queryVectors 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.

How do I block queryVectors completely? +

Set action: deny in the PolicyLayer policy for queryVectors. 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.

What MCP server provides queryVectors? +

queryVectors is provided by the Pinata MCP server (pinatacloud/pinata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pinata MCP tool call.

Start from Pinata MCP, 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.

35 Pinata MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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