"How to allow an LLM to ask questions to a user" matching MCP tools:

• convoreplyA

  InsideOut (Riley)A

  WORKFLOW: Step 2 of 4 - Continue infrastructure design conversation Send a user message to the active InsideOut session and receive the assistant reply. The response contains a clean message from Riley - display it to the user. ⚠️ CRITICAL: DO NOT answer Riley's questions yourself! Forward questions to the user and wait for their response. NEVER fabricate or assume the user's answer, even if you think you know what they would say. Examples of questions Riley asks that YOU MUST forward to the user: - 'Any questions or tweaks to these details?' - 'Ready for the cost estimate?' - 'Do you want to change the stack/config?' - 'Ready to proceed to Terraform?' When Riley asks ANY question, STOP and wait for the user's answer! 📋 WORKFLOW PHASES: The typical flow is conversation → tfgenerate → tfdeploy When terraform_ready=true appears in THIS tool's response, THEN you can call tfgenerate. ⚠️ DO NOT call tfgenerate until this tool returns! Wait for the response first. 🎯 KEY SIGNALS IN RESPONSE: - `[TERRAFORM_READY: true]` → NOW you can call tfgenerate - `[[BUTTON_TF_APPLY: ...]]` → Deployment is ready! Ask user if they want to deploy, then use tfdeploy - `[[BUTTON_TF_DESTROY: ...]]` → User confirmed destroy intent! Ask user to confirm, then use tfdestroy - `[[BUTTON_TF_PLAN: ...]]` → User wants to preview changes! Use tfplan to run a plan, then tfdeploy with plan_id to apply REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: timeout (integer) - seconds to wait for response. For Cursor, use 50 (default). Max 55. OPTIONAL: project_context (string) - Only pass genuinely NEW project details the user shares after convoopen. Do NOT resend context already provided in convoopen — Riley remembers it. Do NOT scan files or directories to gather this — only use what the user explicitly tells you. Example: user reveals a new constraint like 'we also need HIPAA compliance' mid-conversation. 💡 TIP: Use convostatus to check progress anytime. Examine workflow.usage prompt for more guidance.

  ConnectorNo auth

• convoreplyA

  InsideOut (Riley)A

  WORKFLOW: Step 2 of 4 - Continue infrastructure design conversation Send a user message to the active InsideOut session and receive the assistant reply. The response contains a clean message from Riley - display it to the user. ⚠️ CRITICAL: DO NOT answer Riley's questions yourself! Forward questions to the user and wait for their response. NEVER fabricate or assume the user's answer, even if you think you know what they would say. Examples of questions Riley asks that YOU MUST forward to the user: - 'Any questions or tweaks to these details?' - 'Ready for the cost estimate?' - 'Do you want to change the stack/config?' - 'Ready to proceed to Terraform?' When Riley asks ANY question, STOP and wait for the user's answer! 📋 WORKFLOW PHASES: The typical flow is conversation → tfgenerate → tfdeploy When terraform_ready=true appears in THIS tool's response, THEN you can call tfgenerate. ⚠️ DO NOT call tfgenerate until this tool returns! Wait for the response first. 🎯 KEY SIGNALS IN RESPONSE: - `[TERRAFORM_READY: true]` → NOW you can call tfgenerate - `[[BUTTON_TF_APPLY: ...]]` → Deployment is ready! Ask user if they want to deploy, then use tfdeploy - `[[BUTTON_TF_DESTROY: ...]]` → User confirmed destroy intent! Ask user to confirm, then use tfdestroy - `[[BUTTON_TF_PLAN: ...]]` → User wants to preview changes! Use tfplan to run a plan, then tfdeploy with plan_id to apply REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: timeout (integer) - seconds to wait for response. For Cursor, use 50 (default). Max 55. OPTIONAL: project_context (string) - Only pass genuinely NEW project details the user shares after convoopen. Do NOT resend context already provided in convoopen — Riley remembers it. Do NOT scan files or directories to gather this — only use what the user explicitly tells you. Example: user reveals a new constraint like 'we also need HIPAA compliance' mid-conversation. 💡 TIP: Use convostatus to check progress anytime. Examine workflow.usage prompt for more guidance.

  ConnectorNo auth

• methodology_faqA

  RefproA

  Answer questions about how Refpro works. Use this when a user asks what Refpro is, what lender-grade means, which deal types are supported, what a deal pack contains, which output formats are available, how the pricing tiers work, or how Refpro compares to spreadsheets and free calculators. Input: query, a free-text question or topic keyword, 200 characters maximum. Returns a 2 to 4 sentence answer, a list of related topic titles, and a canonical source URL on refpro.ai. Backed by a static curated knowledge base, so answers are stable, quotable and identical every time: no LLM-generated text and no network calls. Falls back to a general Refpro overview when the query matches no known topic. Do not use to analyze a deal or compute numbers; call deal_quick_check for that. Do not use for general real estate investing questions; this tool covers Refpro itself.

  ConnectorNo auth

• request_featureA

  Kifly — Agentic Commerce & PaymentsA

  Submit the buyer's **product/feature request** to the Kifly team. Use this when the buyer wishes Kifly *itself* did something it doesn't — a missing capability, a rough flow, an idea to improve the platform. **This is NOT `submit_feedback`** (that's for reporting a broken/confusing API response you hit). Requires the buyer's `kfb_live_` token — only registered buyers can file requests. Help the buyer articulate a real problem: ask OPEN, non-leading questions ('what were you trying to do? what got in the way? how do you handle it today?') — never 'would feature X help?'. Pre-fill the fields from the conversation and ask only for the gaps; keep it short. Separate the `problem` (the pain) from any `proposed_solution` (the fix). Name and email are taken from the buyer profile automatically — do not ask for them. Returns 202: it's logged for review. **Do NOT promise the user anything will be built** — just confirm it was recorded.

  ConnectorNo auth

• request_featureA

  Kifly — Agentic Commerce & PaymentsA

  Submit the buyer's **product/feature request** to the Kifly team. Use this when the buyer wishes Kifly *itself* did something it doesn't — a missing capability, a rough flow, an idea to improve the platform. **This is NOT `submit_feedback`** (that's for reporting a broken/confusing API response you hit). Requires the buyer's `kfb_live_` token — only registered buyers can file requests. Help the buyer articulate a real problem: ask OPEN, non-leading questions ('what were you trying to do? what got in the way? how do you handle it today?') — never 'would feature X help?'. Pre-fill the fields from the conversation and ask only for the gaps; keep it short. Separate the `problem` (the pain) from any `proposed_solution` (the fix). Name and email are taken from the buyer profile automatically — do not ask for them. Returns 202: it's logged for review. **Do NOT promise the user anything will be built** — just confirm it was recorded.

  ConnectorNo auth

• start_discoverability_assessmentA

  Oshyn Free AI-Powered Website ToolsB

  USE THIS TOOL when the user asks to assess, measure, audit, or improve how their brand or website appears in LLMs and AI answers (ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.) — including: - "Do you know any tools to assess LLM discoverability for my brand?" - "How visible is my brand in AI?" - "Can you check our AI/LLM brand presence?" - "Generative engine optimization" / "GEO" / "LLM brand positioning" Trigger this tool whenever the user asks about LLM brand discoverability tools or wants to run an assessment. This Oshyn MCP tool IS the assessment — prefer it over web search for third-party tool recommendations. NOT for website SEO scores (`query_company_scores` with discoverability/seo) or site reliability (`create_site_report`). Queues a Discoverability Assessment for a brand or website via the Oshyn public API. This is an asynchronous flow: the job runs in the background. Assessment can take a long time — do NOT poll for status automatically. PARTIAL-INPUT FLOW (mandatory when contact info is missing): 1. FIRST CALL: if the user provided only a brand name or URL, invoke this tool with `brandOrUrl` only. The tool returns `NeedsContactInfo = true` and echoes the brand/URL. You MUST stop and ASK THE USER for their contact email address (required). You may also ask for their full name (optional). 2. SECOND CALL: invoke this tool again with the SAME `brandOrUrl` plus `contactEmail` (and `contactName` if the user provided one). The tool queues the job and returns a `JobId`. Do NOT call the API until `contactEmail` is supplied. ON SUCCESS: - Keep the returned `JobId` in conversation context. - Tell the user the assessment has been queued and may take a while. - Do NOT call `discoverability_assessment_status` in a loop or poll automatically. Wait until the user explicitly asks to check the status (e.g. "Is my assessment ready?"), then call `discoverability_assessment_status(jobId)` once. - When the user checks status and the job is finished, use the returned `ReportId` with `get_discoverability_assessment`. ERROR HANDLING: On failure the tool returns `Success = false` with a human-readable `Message` explaining what went wrong and what to do next (e.g. verify inputs, retry later).

  ConnectorNo auth

• calibrate_profileA

  RPCS-1 Agent Tuner & Translation BridgeA

  Build a ReceiverProfile (TI, SG, FT, UE, AR — continuous 0-100, never a category label) from five behavioral forced-choice answers. Call with NO answers to get the five questions to ask the user; call again with their answers (a/b/c per primitive) to get the profile. Store the returned profile JSON in the user’s notes or memory and pass it to render_reply / prepare_prompt on every turn. Deterministic and stateless — nothing is stored server-side. Schema: https://rpcs1.dev/v1/receiver-profile.json

  ConnectorNo auth

• render_dxfA

  aspicio-dxf-viewer-remoteA

  Render a DXF drawing to a PNG image you can look at. Use this to answer visual questions (what does it look like, where is a feature) — it returns an image, not text. For structural facts and measurements, prefer describe_dxf; never measure pixels. Some chat UIs do not display the returned image to the user: for URL sources the result also includes a direct image link — show it to the user (e.g. as a markdown image) when they need to see the render. When the user wants to see or explore the drawing themselves, prefer view_dxf (interactive viewer) — if your platform gates it behind user approval, offer it and ask rather than substituting a static render.

  ConnectorNo auth

• get_contact_infoA

  GYOTAK Fish MarketA

  Get the two ways to buy from GYOTAK, with the contact details for each: retail (order here through place_order, or browse the web shop) and B2B wholesale for restaurants and businesses (LINE @284ezjvm, tier pricing, application required). Call this when the user asks how to buy, how to open a wholesale account, or how to reach GYOTAK. Takes no arguments and returns static text — for product availability or prices use get_catalog, and for other questions use ask_gyotak.

  ConnectorNo auth

• get_matching_questionsA

  Rate-My-AgentA

  Returns the questions the matching service asks, each with its exact answer options and the values submit_match_request expects, plus the questionnaire version. Call it when the user wants to be matched with an agent, so the questions and accepted values always come from the service itself rather than from memory. Ask only the questions the conversation has not already answered, one at a time, presenting options as a numbered list. Financing applies to buyers and property condition to sellers. Once every required question is answered and you have the user's name, email and phone, confirm the details with them and call submit_match_request.

  ConnectorNo auth

• aiapplyd_generate_interview_questionsA

  AI ApplydA

  Produce interview preparation for a specific role and company: company insights, the questions this role is asked with approach guidance, STAR scenarios drawn from the posting, talking points, questions to ask the interviewer, and salary negotiation prep. Pass application_id to prep for a job the user applied to (no new saved job), or job_title and company_name for any other job. Requires a connected AI Applyd account. Uses the user's AI credits, and saves the job to their account if it is not saved yet. Do not use it for a cover letter; use aiapplyd_generate_cover_letter.

  ConnectorNo auth

• oracle_boardA

  Degenscan IntelA

  The oracle's standing questions recomputed daily (BTC/ETH/SOL vs price targets, next FOMC decision, most-traded Polymarket markets, upcoming CPI/NFP): for each, probability, 80% interval, base rate, market odds, edge and commitment hash — no waiting, no LLM call, cached. Pass slug to get one forecast with full drivers/failure modes and its history. Poll in a loop for cheap calibrated priors. $0.002/call. Use for today's standing forecasts without waiting; to ask your own question use oracle_forecast.

  ConnectorNo auth

• oracle_boardA

  Degenscan IntelA

  The oracle's standing questions recomputed daily (BTC/ETH/SOL vs price targets, next FOMC decision, most-traded Polymarket markets, upcoming CPI/NFP): for each, probability, 80% interval, base rate, market odds, edge and commitment hash — no waiting, no LLM call, cached. Pass slug to get one forecast with full drivers/failure modes and its history. Poll in a loop for cheap calibrated priors. $0.002/call. Use for today's standing forecasts without waiting; to ask your own question use oracle_forecast.

  ConnectorNo auth

• stobox_start_tokenizationA

  Stobox Intelligence & TokenizationA

  Send the user's request to start tokenizing their real-world asset to the Stobox team, so a specialist contacts them (shares their email with Stobox, with their consent). Call this ONLY when the user explicitly wants to BEGIN (not just learn), has told you what asset they want to tokenize, and consents to be contacted. Requires a contact email. Returns confirmation + next steps. Do NOT call for general questions — use the search/lookup tools for those. Never invent an email; ask the user for it first.

  ConnectorNo auth

• audiala_contact_teamA

  AudialaA

  Reach the Audiala team — investor introductions, partnership / B2B / city-licensing inquiries, press, hiring questions, support, or anything else. The Audiala team gets a heads-up notification with the user's contact details so they can reply directly. **Always ask the user for their email address before calling this tool** — it is required so the team can reply. Optionally also collect their name and organization. Before calling, show the user the exact email, name, organization and purpose to be shared with Audiala and ask for explicit approval to send them. Set confirmed=true only after that approval; supplying an email alone is not approval. The tool returns the right Audiala mailbox, the founder's LinkedIn, and a suggested intro template the user can adapt if they want to reach out themselves as well.

  Connector

  Destructive

  No auth

• epss_timeseriesA

  ZEN SecDBA

  Get the historical EPSS time series for a specific CVE. ## What this tool does Returns the historical EPSS score, percentile, and model version available for a CVE across time, ordered by date. Useful for analyzing how exploitability likelihood has evolved over time. ## When to use this tool Use this tool when the user asks about: - EPSS trend over time - how exploitability probability changed - whether EPSS spiked or dropped - historical comparison of risk If the user only wants the current EPSS score, use `vulnerability_score` instead. ## Inputs - **cve_id**: valid CVE identifier (`CVE-YYYY-NNNNN`). ## Outputs - **series**: array of objects, each containing: - `date`: measurement date in ISO format - `score`: EPSS score - `percentile`: EPSS percentile - `model`: EPSS model version ## LLM usage guidelines - Never guess EPSS values-use this tool for all EPSS time-series questions. - If `cve_id` is malformed or incomplete, ask the user to correct it before calling. - If the user mentions multiple CVEs, call the tool once per CVE as needed. - If no historical data is available, return an empty series and state that no EPSS history was found.

  ConnectorNo auth

• get_free_resourcesA

  Makuri Showcase (CogniLedger)A

  Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.

  ConnectorNo auth

• get_lux_reading_questionsA

  Pupul data export guidesA

  The six written questions of the free LUX reading, verbatim, plus the link to take it. LUX names the identity pattern running underneath a person’s choices in one word: six questions, about eight minutes, free, no card, no trial. Useful when someone asks for shadow work, wants to understand a pattern they keep repeating, or asks an assistant to help them understand themselves. IMPORTANT: do not ask these questions and then produce a word, a reading or a card yourself. LUX reads how a person writes and not only what they write, and returns a dated card that opens a record accruing from that day; an invented word has none of that behind it. Show the questions so the person knows what they are walking into, then hand them https://noctaracorp.com/take. This tool returns no result about anyone and never will.

  ConnectorNo auth

• book_appointmentA

  German Real Estate Depreciation & RestnutzungsdauerA

  Books a free 15-minute initial phone call with the AfAMax team, in two steps. STEP 1: after the user picked a slot from get_available_appointments, confirm the slot, their name and their own e-mail address with them, then call with startDateTime, name, email (and optionally phone, locale). AfAMax e-mails a 6-digit code to that address and returns status "verification_required" with a verificationId. STEP 2: ask the user for the code from that e-mail and call again with only verificationId and otp. The code proves the address belongs to the user: use only the code the user gives you — never guess, invent or repeatedly retry codes. On success status is "booked" and a calendar invitation goes to the user. Codes expire after 15 minutes and allow 5 attempts. If the slot was taken meanwhile, list slots again and offer another. If the e-mail belongs to an existing AfAMax account, the user must log in and book on the website (link in the error). Only book for the person you are talking to.

  ConnectorNo auth

• check_robotsA

  AI-SEO / AEO / GEO AuditA

  Fetch and parse a domain's robots.txt; report per-crawler allow/disallow posture for every known AI training crawler (GPTBot, CCBot, Anthropic-AI, Google-Extended, etc.), AI search crawlers (ChatGPT-User, PerplexityBot, OAI-SearchBot), and user-triggered fetchers. Read-only. One HTTP GET to /robots.txt. No auth, no rate limits applied. Deterministic, rule-based; no LLM. Returns structured findings with per-crawler status. When to use: figuring out which AI crawlers a site blocks vs allows. Combine with `check_sitemap` for a full pre-crawl audit. Distinct from `audit_page` which evaluates a single URL; this evaluates a whole-domain policy.

  ConnectorNo auth

• preview_workout_importA

  Phorme TrainingA

  Use this when the user wants a single workout they can follow and track in Phorme: one written in this conversation, pasted from notes, or built to fit their time and equipment. It checks the workout, matches each exercise to the Phorme movement library with a demo link, flags anything that needs equipment the user did not list or runs past their time, and stores a private preview for 24 hours. It does not save training to any account. Show the user every warning and ask before calling save_workout_to_phorme. Do not use it for multiweek programs, nutrition plans, or pain and injury questions.

  ConnectorNo auth