iot_store_ingest

Ingest vectors into device store

SERVERClaude Flow SOURCEclaude-flow

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ruvnet-claude-flow/iot-store-ingest.md

WHAT IT DOES

What iot_store_ingest does on Claude Flow

AI agents use iot_store_ingest to create or update resources in Claude Flow, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude Flow environment.

RISK

Why iot_store_ingest is rated Medium

Ingesting vectors into a store is a write operation: it creates new data entries in the IoT device store. It does not appear to delete or overwrite existing data irreversibly, nor does it execute code or move money. Medium severity because bulk vector ingestion could corrupt or pollute a device data store if misused, but the operation is generally reversible by deleting the ingested records.

From the tool's definition 'Ingest vectors into device store' — creates/inserts vector data into a device store

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs iot_store_ingest safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Flow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For iot_store_ingest, this is the rule to start with:

iot_store_ingest Rate-limited

iot_store_ingest 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "iot_store_ingest": {
      "limits": [
        {
          "counter": "iot_store_ingest_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude Flow, apply this rule, and every iot_store_ingest call is checked against it from then on.

FAQ

Questions about iot_store_ingest

What does the iot_store_ingest tool do? +

Ingest vectors into device store. It is categorised as a Write tool in the Claude Flow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on iot_store_ingest? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for iot_store_ingest: 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 Claude Flow. Nothing to install.

What risk level is iot_store_ingest? +

iot_store_ingest is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit iot_store_ingest? +

Yes. Add a rate_limit block to the iot_store_ingest 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 iot_store_ingest completely? +

Set action: deny in the PolicyLayer policy for iot_store_ingest. 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 iot_store_ingest? +

iot_store_ingest is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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