tool_chain_for_question — Ni Caselaw MCP Prompt
tool_chain_for_question
is one of 12 prompts on the
Ni Caselaw
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 Ni Caselaw Prompt/tool_chain_for_question run in your project directory
- Claude Desktop Ni Caselaw Prompt/tool_chain_for_question ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Ni Caselaw Prompt/tool_chain_for_question ~/.cursor/mcp.json
- VS Code Ni Caselaw Prompt/tool_chain_for_question .vscode/mcp.json
- Zed Ni Caselaw Prompt/tool_chain_for_question ~/.config/zed/settings.json
- Windsurf Ni Caselaw Prompt/tool_chain_for_question ~/.codeium/windsurf/mcp_config.json
- Cline Ni Caselaw Prompt/tool_chain_for_question ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Ni Caselaw Prompt/tool_chain_for_question ~/.gemini/settings.json
- Grok Ni Caselaw Prompt/tool_chain_for_question .mcp.json (in your project root)
- ChatGPT Ni Caselaw Prompt/tool_chain_for_question Settings → Connectors → Advanced → Developer mode
- Claude.ai Ni Caselaw Prompt/tool_chain_for_question Settings → Connectors → Add custom connector
- LangChain Ni Caselaw 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 25 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.