How to install Amazon listing image and video MCP server (Amazon Agent Iris) in VS Code
To install Amazon listing image and video MCP server (Amazon Agent Iris) in VS Code, click "Add to VS Code" on this page or add the "amazon-listing-image-and-video-mcp-serve" block under "servers" in .vscode/mcp.json, then pick it in Copilot Chat agent mode.
Built from the published package · server updated 1 month ago
- 1
One click (fastest)
Click the button to open VS Code with this server ready to install.
Add Amazon listing image and video MCP server (Amazon Agent Iris) to VS Code - 2
Or add it by hand
Create .vscode/mcp.json and paste this. Note that VS Code uses "servers", not "mcpServers".
{ "servers": { "amazon-listing-image-and-video-mcp-serve": { "url": "https://{AGENT_IRIS_HOST}/mcp" } } } - 3
Start it in Copilot Chat
Open Copilot Chat in Agent mode and pick the server from the tools menu.
Config file: .vscode/mcp.json in your workspace
MCP servers run with your permissions. If Amazon listing image and video MCP server (Amazon Agent Iris) needs an API key, add it under env in the config. Check its README.
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Questions
Does Amazon listing image and video MCP server (Amazon Agent Iris) work in VS Code?
Yes. VS Code supports local and remote mcp servers in copilot agent mode, and Amazon listing image and video MCP server (Amazon Agent Iris) installs with the steps above.
Amazon listing image and video MCP server (Amazon Agent Iris) does not show up in VS Code. What now?
Restart VS Code fully, check the JSON is valid, and make sure Node.js (for npx) is installed. See common MCP errors and fixes.
Is Amazon listing image and video MCP server (Amazon Agent Iris) safe?
It scores 27 of 100. Review the code before you install it, and only give it the access it needs. Grades and details.
