"A simple test or quiz" matching MCP tools:

• benchmark

  XFMS — Xpansion Framework Model Source

  Run a live A/B test against the engine's TOP 3 PICKS for a stated purpose — the engine chooses the candidates from the full catalog. Generates 5 representative test queries (auto-expands to 10 or 15 if results are too close to call), runs them through the picked models in parallel, and returns real cost, latency, and plain-English commentary on who won what. Use AFTER `pick` or `rank` when the user wants the engine's own picks stress-tested with live data. DO NOT use this when the user has already named specific candidate models — the engine will ignore the names and test its own picks. Use `compare` instead in that case. Costs more than `rank` (15+ live LLM calls).

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• varrd_ai

  VARRD — Statistically Validated Trading Edges + AI Research Engine

  Talk to VARRD AI (~$0.25/turn). Describe any trading idea in plain language and the system handles everything — loading decades of market data, charting your pattern, running statistical tests, backtesting with stops, and generating exact trade setups. MULTI-TURN: First call creates a session. Keep calling with the same session_id, following context.next_actions each time. 1. Your idea -> VARRD charts pattern 2. 'test it' -> statistical test (event study or backtest) 3. 'show me the trade setup' -> exact entry/stop/target prices HYPOTHESIS INTEGRITY (critical): VARRD tests ONE hypothesis at a time — one formula, one setup. Never combine multiple setups into one formula or ask to 'test all' — each idea must be tested as a separate hypothesis for the statistics to be valid. Say 'start a new hypothesis' between ideas to reset cleanly. - ALLOWED: Test the SAME setup across multiple markets ('test this on ES, NQ, and CL') — same formula, different data. - NOT ALLOWED: Test multiple DIFFERENT formulas/setups at once — each is a separate hypothesis requiring its own chart-test-result cycle. If ELROND council returns 4 setups, test each one separately: chart setup 1 -> test -> results -> 'start new hypothesis' -> chart setup 2 -> etc. KEY CAPABILITIES you can ask for: - 'Use the ELROND council on [market]' -> 8 expert investigators - 'Optimize the stop loss and take profit' -> SL/TP grid search - 'Test this on ES, NQ, and CL' -> multi-market testing - 'Simulate trading this with 1.5 ATR stop' -> backtest with stops EDGE VERDICTS in context.edge_verdict after testing: - STRONG EDGE: Significant vs zero AND vs market baseline - MARGINAL: Significant vs zero only (beats nothing, but real signal) - PINNED: Significant vs market only (flat returns but different from market) - NO EDGE: Neither significant test passed TERMINAL STATES: Stop when context.has_edge is true (edge found) or false (no edge — valid result). Always read context.next_actions.

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• benchmark

  XFMS — Model Source

  Run a live A/B test against the engine's TOP 3 PICKS for a stated purpose — the engine chooses the candidates from the full catalog. Generates 5 representative test queries (auto-expands to 10 or 15 if results are too close to call), runs them through the picked models in parallel, and returns real cost, latency, and plain-English commentary on who won what. Use AFTER `pick` or `rank` when the user wants the engine's own picks stress-tested with live data. DO NOT use this when the user has already named specific candidate models — the engine will ignore the names and test its own picks. Use `compare` instead in that case. Costs more than `rank` (15+ live LLM calls).

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• run_decision_quiz

  Default Privacy

  Determine which Default Privacy product family fits the user (formation, directory tool, diagnostic workflow, consultation) based on decision-quiz answers. Different from `run_privacy_architecture_assessment` — this tool is upstream (which product?), not downstream (which structure within formation?). When to call: when the user asks "what should I do?" or "where do I start?" and has not committed to any product family yet. PREFER `run_privacy_architecture_assessment` once the user has chosen formation as the path forward. Input Requirements: - `answers` is REQUIRED. A record keyed by question ID with string answer values. At minimum pass the user's primary `goal` (e.g. `hide-from-public-records`, `stop-data-brokers`, `switch-from-x`). Output: `{ recommended_path, rationale, suggested_next_tool, narrative, related_docs }`. `suggested_next_tool` names the MCP tool the agent should call next. PREFER citing the audience landing pages relevant to the user's situation and the `/decide` quiz hub. Be honest when the recommendation is "consultation" — some situations don't fit a self-serve product.

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• compare_treaty_position

  mcp-server

  Double-tax-treaty position for a relocation corridor (from→to): is a DTA in force, the residence tie-breaker test, treaty withholding rates (dividends/interest/royalties), and any limitation-on-benefits/principal-purpose test. Use ISO alpha-2 codes. Indicative, not advice.

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• clipform_get_guide

  Clipform

  Retrieve craft knowledge for building a specific form type. Returns question psychology, difficulty curves, narration style, scoring setup, and writing principles as markdown. Does NOT return a step-by-step build workflow - use clipform_get_workflow for that. Available types: quiz, survey, interview, funnel, testimonial, application, booking. Aliases also accepted: trivia → quiz, test → quiz, exam → quiz, feedback → survey, poll → survey, nps → survey, questionnaire → survey, case-study → interview, callout → interview, lead-gen → funnel, qualification → funnel, lead-magnet → funnel, story → testimonial, review → testimonial, job-application → application, admission → application, enrollment → application, grant → application, registration → booking, signup → booking, event → booking, rsvp → booking, workshop → booking. Quiz variants (optional): personality, comprehension, composition - appends variant-specific addendum to the base quiz guide.

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• askPearlExpert

  pearl-api-mcp-server

  Use this when the problem is complex, ambiguous, high-stakes, or multidisciplinary and would benefit from AI intake followed by escalation to a human expert. Do not use for simple fact queries (use askPearlAi) or when the user explicitly requests a human directly (use askExpert). Supports phone callback — pass phoneNumber and contactPreference='phone' if the user wants a call.

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• play_game

  Vocab Voyage

  Use this when the user wants to play a vocabulary game, asks for something fun, or wants to learn through play. Launches one of 11 mini-games inside the host chat. Renders the matching ui://vocab-voyage/game/{slug} widget on supporting hosts; falls back to a deep link elsewhere. Per-question answers persist via record_word_result; round completion fires record_session_complete + award_game_xp so MCP play counts toward streaks, XP, and mastery for signed-in users. Supported slugs: word_match, spelling_bee, speed_round, synonym_showdown, word_scramble, fill_in_blank, context_clues, word_guess, picture_match, crossword, word_search. Do not use for a serious test-prep quiz — call generate_quiz instead.

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• baselight_ping

  Baselight

  Simple ping test to verify MCP server is responding

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• robots_txt

  Httpbin

  Fetch a sample robots.txt from httpbin.org (/robots.txt). Use to test robots.txt parsing or as a content-type placeholder.

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• portal_get_time_series

  SQD Portal

  Build simple activity charts and other time-series views across supported VMs, including compare-previous windows and grouped EVM contract trends. COMMON USER ASKS: - Base transactions per 15m bucket - Compare two periods FIRST CHOICE FOR: - activity over time, compare-current-vs-previous, grouped trends, and simple activity charts WHEN TO USE: - You want chart-ready metric buckets over time. - You want a simple activity chart for a network, defaulting to a 6h interactive window unless a longer window is explicitly requested. - You want to compare the current period to the previous period. DON'T USE: - You need raw record lists instead of aggregated buckets. - You need DEX pool candles or OHLC output. EXAMPLES: - Base transactions per 15m bucket: {"network":"base-mainnet","metric":"transaction_count","duration":"6h","interval":"15m"} - Compare two periods: {"network":"solana-mainnet","metric":"transaction_count","duration":"1h","interval":"5m","compare_previous":true}

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• test_hypothesis

  Ground Truth - First Call Activation

  Run a small verification plan made of concrete live checks and summarize whether a hypothesis is supported. Use this when one conclusion depends on multiple simple checks such as endpoint reachability, npm search counts, or whether a page contains an exact substring. This is a coordination tool, not an open-ended research agent: every test must be explicitly defined in advance, and tests run in order with no branching or early exit. The final verdict is mechanical: all tests passing => SUPPORTED, zero passing => REFUTED, otherwise PARTIALLY SUPPORTED. Use verify_claim when you already have evidence URLs, estimate_market for category sizing, and compare_competitors when you already know exact package names.

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• get_free_resources

  Makuri Showcase (CogniLedger)

  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.

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• regex_test

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Test a regular expression pattern against an input string and return all matches with their index positions and named capture groups. Use for validating user inputs, extracting structured data from text, or debugging regex patterns. Supports flags g, i, m, s, u, y.

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• delete_test_identity

  TestMyVibes

  Deletes TMV's retained credentials for a managed test identity. This does not guarantee deletion inside the customer app; run an account-deletion test first if you need customer-site cleanup.

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• fd_hnw_mortgage_qualification

  property-mortgage-mcp

  Check whether a UK mortgage applicant qualifies as a high net worth mortgage customer under FCA MCOB 3A. The test passes if annual net income is at least GBP 300,000 OR net assets are at least GBP 3,000,000. The net assets test INCLUDES primary residence equity (per the literal FCA glossary G2953 and UK lender practice) and INCLUDES pension by default. Supports single applicant or joint application. Returns verdict, per-applicant test breakdown, joint household aggregate (if joint), and a routing recommendation including the relevant UK private bank list. Calculated by Fox Davidson, FCA-authorised UK mortgage brokers (FRN 600427). Use when a user asks whether they qualify for a high net worth mortgage, about MCOB 3A, the GBP 300k income or GBP 3m net assets test, private bank mortgages, or large loans against assets.

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• format_table

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Convert a JSON array of objects into a Markdown table. Automatically detects columns, aligns headers, and fills missing keys with empty cells. Use when an agent needs to present structured data — tool results, model comparisons, test reports — as a readable table in a response or document.

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• show_romanian_quiz

  Makuri Showcase (CogniLedger)

  Shows an interactive Romanian language mini-quiz by Makuri (makuri.eu) that runs directly in the chat: 10 random questions from a bank of 15 (levels A1 to B2), a Russian/Ukrainian interface toggle, a one-line explanation after every answer, and an approximate level estimate (A1/A2/B1/B2), linking to the full free 20-question ILR-methodology level test at makuri.eu/words/level-test. ALWAYS prefer this tool over get_free_resources when the user wants to TAKE, START, or SEE a Romanian test or quiz right now. Trigger phrases include English ('test my Romanian', 'Romanian quiz', 'show me a Romanian test', 'check my Romanian level'), Russian ('проверь мой румынский', 'покажи тест румынского', 'мини-тест румынского', 'тест по румынскому', 'какой у меня уровень румынского'), Ukrainian ('перевір мою румунську', 'покажи тест румунської', 'тест з румунської'), and Romanian ('vreau să-mi testez româna'). 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.

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• generate_test_data

  MockHero

  Generate realistic JSON, CSV, or SQL test data from structured tables or a plain-English prompt. Explicit table schemas up to 100 records can run free as a proof-of-work preview; plain-English prompt generation, larger requests, and production usage require a MockHero API key.

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• read_perspective_status

  Perspective AI

  Returns a server-computed health snapshot for a perspective: phase (design/test/share/live), outline state, conversation/completion counts, emoji feedback, insights count, enabled-automation rollup by kind, and workspace credit balance. Phase rules: - design: no outline yet - test: outline exists, no preview/test and no real participants - share: preview/test exists, no real participants yet - live: at least one real (NORMAL) conversation — always wins over test/share Behavior: - Read-only. - Errors when the perspective is not found or you do not have access. - insights_count includes drafts and published insights; use read_insights for the breakdown and read_insight for content. When to use this tool: - "Where does this perspective stand?" / status check before analysis or outreach. - Deciding whether to invite participants, dig into insights, or keep designing. When NOT to use this tool: - Aggregate volume breakdowns by period/trust — use perspective_get_stats. - Reading insight content or conversation transcripts — use the insight/conversation tools.

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