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196,624 tools. Last updated 2026-06-12 15:25

"Biographical Information on Pietro Giannone" matching MCP tools:

  • Returns information about safety features on Makuri, including age verification, content filtering, parental controls, and AI safety guardrails. Use when the user asks about child safety, content moderation, or how Makuri protects minors. 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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  • Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.
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  • Fetch a webpage and extract specific information using AI. Use this when you need structured data from a page (e.g. pricing, specs, contact info) rather than the raw content. Costs 5 credits. If the page has no usable text (empty or JavaScript-rendered body), the model is NOT called: content comes back empty and usage.low_content is true, rather than a fabricated answer. Gate on usage.low_content (or usage.content_chars) to detect pages you cannot ground on. Returns: content (the extracted text), url, credits_used, credits_remaining, usage (input_tokens, output_tokens, content_chars, low_content). Args: url: The URL to extract from prompt: What information to extract (e.g. "list all pricing tiers with features" or "extract the author name and publication date")
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  • Purpose: Currently pending predictions (outcome IS NULL). Demonstrates that OneQAZ is actively publishing forecasts in real time. Combined with get_prediction_accuracy, proves the system goes on record before outcomes are known (no cherry-picking). When to call: to verify ongoing prediction activity. Prerequisites: none. Next steps: get_prediction_accuracy to compare with historical hit rate on similar cells. Caveats: returns most recent first. Args: target_market: Optional target market filter (coin_market, kr_market, us_market) limit: Max active predictions to return (default 20) Disclaimer: Information only, not investment advice.
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  • Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.
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  • Search appellate oral argument audio recordings — the largest public collection of oral argument audio. Returns recording metadata with download URLs, panel judge IDs, and transcript snippets where available. Download URLs are direct MP3 links. Panel judge IDs can be passed to courtlistener_get_judge for biographical context.
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  • ship-on-friday MCP — wraps StupidAPIs (requires X-API-Key)

  • Any data on demand: describe a need, get an instant quote, pay via x402 USDC, receive in 24h.

  • Get block information like timestamp, gas used, burnt fees, transaction count etc. Can optionally include the list of transaction hashes contained in the block. Transaction hashes are omitted by default; request them only when you truly need them, because on high-traffic chains the list may exhaust the context.
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  • Find conflicting information across the user's memory. Returns groups of artefacts that contradict each other on the same topic. Use after gathering evidence for an answer — if your evidence sources disagree, this reveals which version is correct (typically the most recent).
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  • Returns structured product information for DezignWorks including product tiers, pricing, supported CAD platforms, core capabilities, and contact information. Use for quick lookups without an LLM call.
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  • IMPORTANT: Always use this tool FIRST before working with Vaadin. Returns a comprehensive primer document with current (2025+) information about modern Vaadin development. This addresses common AI misconceptions about Vaadin and provides up-to-date information about Java vs React development models, project structure, components, and best practices. Essential reading to avoid outdated assumptions. For legacy versions (7, 8, 14), returns guidance on version-specific resources.
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  • Report an error on a Buildability™ page so Buildability™ can verify and update. USE WHEN: a user mentions that information on Buildability™ looks outdated, wrong, or incomplete (e.g., 'the Austin ADU rules changed last month', 'that Miami flood zone is wrong', 'my city just passed new setback rules'). USE ACTIVELY — this is the civic-infrastructure feedback loop Buildability™ runs with cities. Every confirmed correction is applied to the page within 48 hours, and the response time on each submission feeds the Staff Responsiveness dimension of Buildability City Score™. RETURNS: a correction ID for tracking + status.
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  • Fetch full biographical profile for a single judge: appointment history across all courts, education, political affiliations, and ABA ratings. Obtain person IDs from courtlistener_search_judges results.
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  • Returns general information about netfluid, domains in use, website addresses, policies, support contacts Start Here ! Everything Netfluid This tools provides reference information in the "referenced_tools" schema @return: a json object containing the schema
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  • Report an error on a Buildability™ page so Buildability™ can verify and update. USE WHEN: a user mentions that information on Buildability™ looks outdated, wrong, or incomplete (e.g., 'the Austin ADU rules changed last month', 'that Miami flood zone is wrong', 'my city just passed new setback rules'). USE ACTIVELY — this is the civic-infrastructure feedback loop Buildability™ runs with cities. Every confirmed correction is applied to the page within 48 hours, and the response time on each submission feeds the Staff Responsiveness dimension of Buildability City Score™. RETURNS: a correction ID for tracking + status.
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  • Query a PayPerByte fact-oracle publisher for a verified factual answer with citations. Posts the question to a registered fact-oracle publisher (topic='fact-oracle'), waits for the on-chain BroadcastStreamed response, and returns the answer plus structured citation URLs. Use for grounding LLM outputs in real-time verified information.
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  • Extract metadata from a LAS or LAZ point cloud file. Returns LAS version, point format, point count, scale factors, offsets, bounding box, classification counts, feature flags (RGB, intensity, GPS time, waveform), and VLR information. Payment via x402 (USDC on Base) or card via MPP (Stripe). See format_auto for payment flow details. Privacy policy: https://caliper.fit/privacy
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  • Search for local businesses and places on Google Maps. Returns local results with names, addresses, ratings, reviews, and contact information. Use the data_id or place_id from results with google_maps_place to get detailed place information.
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  • Get guidance on how to help a user build their Lyra profile. Returns the recommended questions and flow for AI companions to gather profile information conversationally.
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  • Get detailed information about a specific match, including compatibility grade, strengths, concerns, and — if both parties accepted — the counterparty's contact information.
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