# Perceptron Vision MCP Server

> Use this tool when you need to analyze visual data, such as images and videos, to extract insights and information. The Perceptron Vision MCP Server provides direct access to Perceptron's Isaac model family, enabling capabilities like visual question answering, captioning, OCR, and object detection. It accepts image and video inputs and returns relevant outputs, making it ideal for applications requiring advanced computer vision functionality.

Canonical page: https://skillsregistry.net/skills/perceptron-ai-inc-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/perceptron-ai-inc-mcp-server

## Description

A vision MCP server that gives MCP-compatible agents direct access to Perceptron's Isaac model family for visual question answering, captioning, OCR, and object detection over images and videos.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kk9vzp0p8p)
- **Repository:** <https://github.com/perceptron-ai-inc/mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "perceptron-ai-inc-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/perceptron-ai-inc-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/perceptron-ai-inc-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt