VS Code FastGPU match_workload
How to: VS Code FastGPU match_workload
Add FastGPU to VS Code
-
01
Open .vscode/mcp.json and merge this in. Keep any servers already there.
{
"servers": {
"fastgpu": {
"type": "http",
"url": "https://fastgpu.co/api/mcp"
}
}
}-
02
Save the file and restart VS Code.
-
03
Ask for something match_workload does. VS Code lists the server's tools on connect and calls match_workload itself — you do not invoke it by name.
-
04
If nothing happens, check the server is running and that FastGPU's identifier in your config matches the one above exactly.
Requires agent mode. MCP: Open User Configuration puts the same block in every workspace. VS Code docs
Same tool, other clients
This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.