nvidia-vision-mcp
Enables AI models to read local images using NVIDIA vision models, supporting image description, text extraction, and custom analysis.
README
NVIDIA Vision MCP
A small MCP server for reading local images with NVIDIA vision models.
This is useful when the AI model you are using cannot see images directly. A common case is browser debugging: Chrome DevTools can capture a screenshot, but the model still cannot inspect what is inside the image. This server gives the model a simple way to read that screenshot.
What It Does
- Describes local images and screenshots
- Extracts visible text from images
- Answers specific questions about an image
- Deletes temporary screenshot files after use
Setup
Add the server to your MCP client config:
{
"mcpServers": {
"nvidia-vision": {
"command": "npx",
"args": ["-y", "nvidia-vision-mcp"],
"env": {
"NVIDIA_MODEL": "meta/llama-4-maverick-17b-128e-instruct",
"NVIDIA_API_KEY": "your_nvidia_api_key"
}
}
}
}
The API key is read from the MCP server environment. No .env file is needed.
NVIDIA_MODEL is optional. If it is not set, the server uses:
meta/llama-4-maverick-17b-128e-instruct
You can replace it with another NVIDIA-hosted vision-capable chat model when needed.
For local development from this folder:
{
"mcpServers": {
"nvidia-vision": {
"command": "node",
"args": ["/path/to/nvidia-vision/src/server.js"],
"env": {
"NVIDIA_MODEL": "meta/llama-4-maverick-17b-128e-instruct",
"NVIDIA_API_KEY": "your_nvidia_api_key"
}
}
}
}
Tools
describe_image
Describes what is visible in a local image.
extract_text_from_image
Extracts text from an image or screenshot. Useful for UI errors, terminal output, form labels, dialogs, and short documents.
analyze_image
Answers a custom question about an image. For example, you can ask where a button is, what color an element uses, or whether an error message is visible.
delete_file
Deletes a local file. This is mostly for cleaning up temporary screenshots.
Examples
Read text from a screenshot:
extract_text_from_image(image_path="/tmp/screenshot.png")
Ask about a specific part of the UI:
analyze_image(
image_path="/tmp/screenshot.png",
question="What does the primary button say, and where is it located?"
)
Describe a screenshot and remove it afterwards:
describe_image(image_path="/tmp/screenshot.png", cleanup=true)
Notes
This server intentionally stays narrow. It exists to help models inspect local screenshots when another tool can produce the image file but cannot explain what is inside it.
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