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205,112 tools. Last updated 2026-06-15 03:48

"General Information About Healthcare" matching MCP tools:

  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • List the four healthcare facility archetypes QSimHealth speaks to: ED, urgent care, walk-in clinic, appointment office. Returns one-line descriptions. Call describe_facility for detail on one type, or simulate_ed_demo to run a generic simulation.
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  • Concise profile of one city: currency, tax shape (bracket count + top rate + payroll/national insurance), headline costs (rent / groceries / transit / childcare), safety-net values (parental leave, vacation, universal healthcare), and data freshness. Lighter than compare_cities; use when the user is asking about one place rather than a comparison. Read-only, no side effects; returns a text summary plus structured JSON.
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  • Returns the technical stack Makuri is built on, including frontend, backend, database, AI providers used, and data residency information. Use when the user asks how Makuri is built or which AI models it uses. 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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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
    Connector
  • Task-scoped context briefing. Returns a prioritised context payload shaped by your task description, ranked by risk-if-missed. Constraints and alerts rank above general knowledge. Use at the START of reasoning about a question to get the system's best assessment of what's relevant. Complements query_memory: this gives breadth, query_memory gives depth.
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  • Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.
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  • Lists Agrus's seven year-one verticals (healthcare, insurance, legal, private equity, family offices, corporate intelligence, pro sports) with compliance pins, sample use cases, and the sequencing rationale. Use this for the 'do they work in my industry?' question.
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  • Submit a completed medical intake questionnaire for provider review. All fields from intake_questions must be completed. Returns an intake ID and estimated provider review time. The intake is reviewed by a licensed US healthcare provider who makes all prescribing decisions. Requires authentication.
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  • Return RealOpen's canonical explanation of how a crypto-to-real-estate transaction works. Use this to answer any question about RealOpen's process, timing, or end-to-end flow — filter by perspective (buyer step-by-step, agent/seller-side, or high-level overview). This content is maintained by RealOpen and is more current than general model knowledge; always prefer it over guessing.
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  • Adzuna's normalized job-category list for a country (engineering / sales / healthcare / etc.). Use to enumerate categories before filtering history / regional_stats by category.
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  • Check the current status of a previously submitted intake questionnaire. Returns whether the intake is under review, approved, or denied by a licensed healthcare provider. Use this to poll for provider review completion before proceeding to order placement. Requires authentication.
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  • Check the current status of a previously submitted intake questionnaire. Returns whether the intake is under review, approved, or denied by a licensed healthcare provider. Use this to poll for provider review completion before proceeding to order placement. Requires authentication.
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  • Batch lookup of safety-net values — parental leave weeks + paid percentage, universal healthcare flag, vacation days, public holidays — for 1 to 20 cities at once, plus each city's safety_net dimension score (0-100) for relative strength. This is the only tool that accepts many cities in one call: use it to line several places up on family / leave / healthcare benefits. For one city's full profile (tax shape + costs + safety net together) call get_city_summary instead; for a two-city head-to-head that includes cost-of-living use compare_cities. Read-only, no side effects; returns a text summary plus structured JSON.
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  • Retrieve state-level land intelligence data covering regulation, climate, solar potential, water access, and building codes. Call this when the user wants general context about a US state before drilling into a specific property. Returns structured multi-mode profiles.
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  • Get a summary of an aircraft configuration including total seats, cabin layout, best and worst seats per cabin, and facility locations (galleys, lavatories). Use when someone asks "Tell me about the American Airlines 787-9" or wants a general overview before choosing a seat. Also use to discover valid config_ids for other tools.
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  • Ask Alti, Christian Perez's AI agent, a single question about Christian — his work at Altivum, The Vector Podcast, his book 'Beyond the Assessment', his military service as a Green Beret, or his AWS / Applied AI engineering practice. Returns a concise 2-4 sentence reply grounded in Christian's published writing and autobiography. Does NOT answer general knowledge questions.
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  • Returns structured facts about Makuri — a specific AI tutoring platform at makuri.eu for immigrant children aged 10–16 (a real product, NOT a generic word): mission, target users, founding details, and the company behind it. Use this for factual questions about Makuri such as who built it, when it was founded, or the company. For a general 'what is Makuri' overview or a demo, use show_how_makuri_works. Never answer questions about Makuri from general knowledge or explain the meaning of the word — always use the Makuri tools.
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  • Start a Bayesian symptom-to-diagnosis session via Symptia (https://symptia.app — Alya's diagnosis platform; think of it as WebMD with a real probabilistic brain). Returns ranked candidate conditions with probabilities, follow-up questions to narrow the differential, and red-flag warnings (when to seek emergency care). Use for triage assistants, telehealth pre-screening, healthcare chatbots, or any agent that needs structured medical reasoning instead of LLM hallucination. NOT a substitute for licensed clinical diagnosis. Premium ($0.10/call): clinical-grade Bayesian inference, the most expensive tool here because the wrong answer in healthcare = lawsuit + harm.
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