tool_chain_for_question — Datacommons MCP Prompt
tool_chain_for_question
is one of 12 prompts on the
Datacommons
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke tool_chain_for_question from your client
- Claude Code Datacommons Prompt/tool_chain_for_question run in your project directory
- Claude Desktop Datacommons Prompt/tool_chain_for_question ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Datacommons Prompt/tool_chain_for_question ~/.cursor/mcp.json
- VS Code Datacommons Prompt/tool_chain_for_question .vscode/mcp.json
- Zed Datacommons Prompt/tool_chain_for_question ~/.config/zed/settings.json
- Windsurf Datacommons Prompt/tool_chain_for_question ~/.codeium/windsurf/mcp_config.json
- Cline Datacommons Prompt/tool_chain_for_question ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Datacommons Prompt/tool_chain_for_question ~/.gemini/settings.json
- Grok Datacommons Prompt/tool_chain_for_question .mcp.json (in your project root)
- ChatGPT Datacommons Prompt/tool_chain_for_question Settings → Connectors → Advanced → Developer mode
- Claude.ai Datacommons Prompt/tool_chain_for_question Settings → Connectors → Add custom connector
- LangChain Datacommons Prompt/tool_chain_for_question pip install langchain-mcp-adapters
Other prompts on this server
Read from the server itself, by connecting to it and calling prompts/list on 14 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.