Apply color map on the given image to generate a pseudo color image 对输入图像应用颜色映射表，生成伪彩图 - Apply color map on the given image to generate a pseudo color image for data visualization - The input image can be any depth - The output image will be a color 8-bit image - Optionally invert the colormap an...
AI agents use image_convert_color_map to create or update resources in Leaper Vision Toolkit — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Leaper Vision Toolkit environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
inverse | boolean | — | 是否反向映射 |
imageUrl | string | — | 图片的url地址，通过这个地址获取到输入图像 |
maxValue | number | — | 最大值 |
minValue | number | — | 最小值 |
normalize | boolean | — | 是否归一化 |
colorMapType | string | — | 颜色映射表类型，例如：LPVColorMapAutumn,LPVColorMapBone,LPVColorMapJet,LPVColorMapWinter,LPVColorMapRainbow,LPVColorMapOcean,LPVColorMapSummer,LPVColorMapSpring,LPVColorMa |
Parameters from the server's own tool schema.
This tool transforms an input image by applying a color map and produces a new output image. It creates/modifies image data (color conversion/transformation), which is a Write operation. It does not execute arbitrary code, delete data, or involve financial transactions. The blast radius is low as it only processes image data.
From the tool's definition Apply color map on the given image to generate a pseudo color image
Attacks that exploit this kind of access
Apply color map on the given image to generate a pseudo color image 对输入图像应用颜色映射表，生成伪彩图 - Apply color map on the given image to generate a pseudo color image for data visualization - The input image can be any depth - The output image will be a color 8-bit image - Optionally invert the colormap and normalize the input image before applying colormap - Pass in empty range (0, 0) for minValue/maxValue to use the minimum of current image - 对输入图像应用颜色映射表，生成一张伪彩图，通常用于进行数据可视化 - 输入图像可以是任意位深 - 输出图像将是彩色 8 位图 - 可选择是否使用反向的颜色映射表，以及对输入图像进行归一化处理 - 对于minValue/maxValue，传入空范围 (0, 0) 表示使用当前图像的最小值 返回结构是一个序列化的JSON字符串，包含以下字段： ResultImg: 输出结果图像URL地址. It is categorised as a Write tool in the Leaper Vision Toolkit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
image_convert_color_map accepts 6 parameters: inverse, imageUrl, maxValue, minValue, normalize, colorMapType. The full parameter table on this page comes from the server's own tool schema.
Register the Leaper Vision Toolkit MCP server in PolicyLayer and add a rule for image_convert_color_map: 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 Leaper Vision Toolkit. Nothing to install.
image_convert_color_map 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 image_convert_color_map 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 image_convert_color_map. 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.
image_convert_color_map is provided by the Leaper Vision Toolkit MCP server (leaper-mcp/leaper-mcp-proxy). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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