suggest_questions — Ai Model Experiments MCP Tool
suggest_questions
(suggest questions) is one of 44 tools on the
Ai Model Experiments
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call suggest_questions from your client
- Claude Code Ai Model Experiments suggest_questions run in your project directory
- Claude Desktop Ai Model Experiments suggest_questions ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Ai Model Experiments suggest_questions ~/.cursor/mcp.json
- VS Code Ai Model Experiments suggest_questions .vscode/mcp.json
- Zed Ai Model Experiments suggest_questions ~/.config/zed/settings.json
- Windsurf Ai Model Experiments suggest_questions ~/.codeium/windsurf/mcp_config.json
- Cline Ai Model Experiments suggest_questions ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Ai Model Experiments suggest_questions ~/.gemini/settings.json
- Grok Ai Model Experiments suggest_questions .mcp.json (in your project root)
- ChatGPT Ai Model Experiments suggest_questions Settings → Connectors → Advanced → Developer mode
- Claude.ai Ai Model Experiments suggest_questions Settings → Connectors → Add custom connector
- LangChain Ai Model Experiments suggest_questions pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http ai-model-experiments https://gateway.pipeworx.io/ai-model-experiments/mcp
Other tools on this server
- ask_pipeworx
- ask_pipeworx_beta
- ask_pipeworx_grounded
- search_within
- deep_research
- discover_tools
- resolve_entity
- compare_entities
- subscribe
- unsubscribe
- list_subscriptions
- recent_alerts
- entity_profile
- recent_changes
- validate_claim
- company_facts
- scan_dependency
- bet_research
- polymarket_arbitrage
- polymarket_edges
- polymarket_kalshi_spread
- polymarket_fill_risk
- polymarket_edge_tracker
- kalshi_weather_edge
- resolution_audit
- resolution_diff
- release_calendar_markets
- pipeworx_trending
- generate_llms_txt
- ai_visibility_check
- scan_competitor_ai_presence
- pipeworx_feedback
- remember
- recall
- forget
- experiment_models
- experiment_estimate
- experiment_create
- experiment_status
- experiment_results
- experiment_list
- experiment_cancel
- experiment_topup
This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.