video_reframe
Crops a video to a target aspect ratio (e.g. "9:16" vertical, "1:1" square, "4:5") around a focus point — for social clips. Takes the LARGEST crop of that aspect that fits, centered on focus (x,y in source pixels, top-left origin; default = center) and clamped to the frame. Audio passes through. ...
This record as markdown: /tools/com-local-mcp-local-mcp/video-reframe.md
What video_reframe does on Local
AI agents call video_reframe to retrieve information from Local without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
focus | object | — | {x,y} center of interest in source pixels (top-left). Default: frame center. |
input | string | Yes | |
aspect | string | Yes | Target aspect "W:H", e.g. 9:16, 1:1, 4:5, 16:9. |
output | string | — | Default: <input>_<aspect>.mov |
Parameters from the server's own tool schema.
Why video_reframe is rated Low
Even though video_reframe only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs video_reframe safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Local, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For video_reframe, this is the rule to start with:
video_reframe 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 Local, apply this rule, and every video_reframe call is checked against it from then on.
Questions about video_reframe
Crops a video to a target aspect ratio (e.g. "9:16" vertical, "1:1" square, "4:5") around a focus point — for social clips. Takes the LARGEST crop of that aspect that fits, centered on focus (x,y in source pixels, top-left origin; default = center) and clamped to the frame. Audio passes through. Returns the output path + new dimensions. It is categorised as a Read tool in the Local MCP Server, which means it retrieves data without modifying state.
video_reframe accepts 4 parameters: focus, input, aspect, output. Required: input, aspect. The full parameter table on this page comes from the server's own tool schema.
Register the Local MCP server in PolicyLayer and add a rule for video_reframe: 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 Local. Nothing to install.
video_reframe 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 video_reframe 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_reframe. 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_reframe is provided by the Local MCP server (local-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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