research_public_company — Turbulence Modeling Resource MCP Prompt
research_public_company
is one of 12 prompts on the
Turbulence Modeling Resource
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke research_public_company from your client
- Claude Code Turbulence Modeling Resource Prompt/research_public_company run in your project directory
- Claude Desktop Turbulence Modeling Resource Prompt/research_public_company ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Turbulence Modeling Resource Prompt/research_public_company ~/.cursor/mcp.json
- VS Code Turbulence Modeling Resource Prompt/research_public_company .vscode/mcp.json
- Zed Turbulence Modeling Resource Prompt/research_public_company ~/.config/zed/settings.json
- Windsurf Turbulence Modeling Resource Prompt/research_public_company ~/.codeium/windsurf/mcp_config.json
- Cline Turbulence Modeling Resource Prompt/research_public_company ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Turbulence Modeling Resource Prompt/research_public_company ~/.gemini/settings.json
- Grok Turbulence Modeling Resource Prompt/research_public_company .mcp.json (in your project root)
- ChatGPT Turbulence Modeling Resource Prompt/research_public_company Settings → Connectors → Advanced → Developer mode
- Claude.ai Turbulence Modeling Resource Prompt/research_public_company Settings → Connectors → Add custom connector
- LangChain Turbulence Modeling Resource Prompt/research_public_company pip install langchain-mcp-adapters
Other prompts on this server
Read from the server itself, by connecting to it and calling prompts/list on 20 October 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.