video.ingest
Ingest video, extract frames, classify motion, and select evidence keyframes.
This record as markdown: /tools/visionmcp/video.ingest.md
What video.ingest does on Visionmcp
AI agents use video.ingest to create or update resources in Visionmcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Visionmcp environment.
Why video.ingest is rated Medium
The tool processes and stores video data (ingest), extracts frames, and classifies motion — all of which create or modify data in the system. This is a Write operation since it produces new artifacts (frames, classifications, keyframes) that are reversible and don't involve code execution, deletion, or financial transactions.
From the tool's definition Ingest video, extract frames, classify motion, and select evidence keyframes
Attacks that exploit this kind of access
The rule that runs video.ingest safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Visionmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For video.ingest, this is the rule to start with:
video.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.
The button opens the PolicyLayer dashboard: create your workspace, connect Visionmcp, apply this rule, and every video.ingest call is checked against it from then on.
Questions about video.ingest
Ingest video, extract frames, classify motion, and select evidence keyframes. It is categorised as a Write tool in the Visionmcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Vision MCP server in PolicyLayer and add a rule for video.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 Visionmcp. Nothing to install.
video.ingest is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the video.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.
Set action: deny in the PolicyLayer policy for video.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.
video.ingest is provided by the Vision MCP server (joshuahickscorp/visionmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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