match_workload — FastGPU MCP Tool
match_workload
(match workload) is one of 2 tools on the
FastGPU
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call match_workload from your client
- Claude Code FastGPU match_workload run in your project directory
- Claude Desktop FastGPU match_workload ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor FastGPU match_workload ~/.cursor/mcp.json
- VS Code FastGPU match_workload .vscode/mcp.json
- Zed FastGPU match_workload ~/.config/zed/settings.json
- Windsurf FastGPU match_workload ~/.codeium/windsurf/mcp_config.json
- Cline FastGPU match_workload ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI FastGPU match_workload ~/.gemini/settings.json
- Grok FastGPU match_workload .mcp.json (in your project root)
- ChatGPT FastGPU match_workload Settings → Connectors → Advanced → Developer mode
- Claude.ai FastGPU match_workload Settings → Connectors → Add custom connector
- LangChain FastGPU match_workload pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http fastgpu https://fastgpu.co/api/mcpOther tools on this server
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.