mcp_smoke_test_flow — Thousand API MCP Prompt
mcp_smoke_test_flow
is one of 3 prompts on the
Thousand API
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke mcp_smoke_test_flow from your client
- Claude Code Thousand API Prompt/mcp_smoke_test_flow run in your project directory
- Claude Desktop Thousand API Prompt/mcp_smoke_test_flow ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Thousand API Prompt/mcp_smoke_test_flow ~/.cursor/mcp.json
- VS Code Thousand API Prompt/mcp_smoke_test_flow .vscode/mcp.json
- Zed Thousand API Prompt/mcp_smoke_test_flow ~/.config/zed/settings.json
- Windsurf Thousand API Prompt/mcp_smoke_test_flow ~/.codeium/windsurf/mcp_config.json
- Cline Thousand API Prompt/mcp_smoke_test_flow ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Thousand API Prompt/mcp_smoke_test_flow ~/.gemini/settings.json
- Grok Thousand API Prompt/mcp_smoke_test_flow .mcp.json (in your project root)
- ChatGPT Thousand API Prompt/mcp_smoke_test_flow Settings → Connectors → Advanced → Developer mode
- Claude.ai Thousand API Prompt/mcp_smoke_test_flow Settings → Connectors → Add custom connector
- LangChain Thousand API Prompt/mcp_smoke_test_flow pip install langchain-mcp-adapters
Other prompts on this server
Thousand API also offers 1 resource — data you attach as context, where a prompt is something you run.
Read from the server itself, by connecting to it and calling prompts/list on 24 September 2026.
A listing does not declare its prompts, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each prompt's arguments.