recommend_gpu_by_context — Entyrax MCP Tool
recommend_gpu_by_context
(recommend gpu by context) is one of 3 tools on the
Entyrax
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call recommend_gpu_by_context from your client
- Claude Code Entyrax recommend_gpu_by_context run in your project directory
- Claude Desktop Entyrax recommend_gpu_by_context ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Entyrax recommend_gpu_by_context ~/.cursor/mcp.json
- VS Code Entyrax recommend_gpu_by_context .vscode/mcp.json
- Zed Entyrax recommend_gpu_by_context ~/.config/zed/settings.json
- Windsurf Entyrax recommend_gpu_by_context ~/.codeium/windsurf/mcp_config.json
- Cline Entyrax recommend_gpu_by_context ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Entyrax recommend_gpu_by_context ~/.gemini/settings.json
- Grok Entyrax recommend_gpu_by_context .mcp.json (in your project root)
- ChatGPT Entyrax recommend_gpu_by_context Settings → Connectors → Advanced → Developer mode
- Claude.ai Entyrax recommend_gpu_by_context Settings → Connectors → Add custom connector
- LangChain Entyrax recommend_gpu_by_context pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http entyrax https://www.entyrax.com/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.