INDIVIDUAL MCP TOOL

compare_gpus

Side-by-side comparison of two GPUs: benchmark scores at every resolution, specs, current prices, and a value verdict.

pickgpu.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://pickgpu.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for compare_gpus and invoke it with your own arguments.

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Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.pickgpu]
url = "https://pickgpu.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "pickgpu": {
      "type": "http",
      "url": "https://pickgpu.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: pickgpu
Remote MCP URL: https://pickgpu.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "pickgpu": {
      "url": "https://pickgpu.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "pickgpu": {
      "type": "http",
      "url": "https://pickgpu.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "pickgpu",
  "transport": "streamable-http",
  "url": "https://pickgpu.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

get_top_picks — Returns GPUs on the price/performance efficiency frontier, sorted highest-performance first.
search_gpus — Search GPUs by name, manufacturer, or VRAM.
get_price_history — Historical price data for a specific GPU — daily prices over time for new and used conditions.
get_gpu_details — Get full specs, benchmark scores (raster and ray tracing at 1080p/1440p/4K), current prices, and value context for a specific GPU.