get-started — VARRD — Statistically Validated Trading Edges + AI Research Engine MCP Prompt
get-started
is one of 5 prompts on the
VARRD — Statistically Validated Trading Edges + AI Research Engine
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke get-started from your client
- Claude Code VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started run in your project directory
- Claude Desktop VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started ~/.cursor/mcp.json
- VS Code VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started .vscode/mcp.json
- Zed VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started ~/.config/zed/settings.json
- Windsurf VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started ~/.codeium/windsurf/mcp_config.json
- Cline VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started ~/.gemini/settings.json
- Grok VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started .mcp.json (in your project root)
- ChatGPT VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started Settings → Connectors → Advanced → Developer mode
- Claude.ai VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started Settings → Connectors → Add custom connector
- LangChain VARRD — Statistically Validated Trading Edges + AI Research Engine Prompt/get-started pip install langchain-mcp-adapters
Other prompts on this server
VARRD — Statistically Validated Trading Edges + AI Research Engine also offers 2 resources — 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.