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260,871 tools. Last updated 2026-07-05 09:33

"A checklist for various tasks or activities" matching MCP tools:

  • Read-only. Return a Markdown checklist of spec items grouped by category, optionally filtered by category and/or status. Built for site audits — each item is a tickable line with status and canonical URL. Returns all statuses unless `status` is passed. No side effects; items are grouped by category in canonical order and the output is deterministic. Use `list_topics` instead when you want a flat list rather than grouped checkboxes, or the `audit_url` prompt to drive an actual audit of a target URL.
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  • Read tasks from a 'todo' board with server-side filtering — handy for 'what's overdue?' / 'what's assigned to X?' without pulling the whole board. All filters are optional and AND together: `assignee` (exact match), `priority` ('H'|'M'|'L'), `done` (boolean), `overdue` (true → due_date strictly before today, not done), `due_before` / `due_after` (ISO date window on due_date). Returns `{ boardId, mode, tasks }` — tasks ordered by sort, each with the same fields as `list_tasks`.
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  • Discovery search across PriceTik surfaces. Map the intent to the right tool: for a SPECIFIC isolated intent, prefer the dedicated tool — `pricetik_hotel_search` for hotels, `pricetik_activity_search` for activities/tickets — which return richer, date-accurate results in their own widget. Reach for `pricetik_search` when the intent is exploratory or you do not yet know the surface. `surface=shopping` returns retail deals; `surface=hotels` resolves the query as a destination + returns top hotel matches with their PriceTik UUIDs; `surface=events` returns real bookable activities for the matched destination. `surface=all` is a DISCOVERY FALLBACK that returns results GROUPED BY SURFACE (relevance-gated, each surface in its own labeled section) — it does NOT round-robin interleave verticals. The default `surface` is scope-aware (it follows the active vertical selection), not a fixed `shopping`. For a multi-surface trip ("a hotel AND a show"), do NOT use `surface=all` to commingle — instead fire parallel dedicated calls (`pricetik_hotel_search` + `pricetik_activity_search`, each rendering its own widget), or use `pricetik_trip_plan` (with includeTickets=true when the "show" is a ticketed live event) / `pricetik_compare_destinations` for a true single-response stitch. The events surface returns bookable activities/attractions PLUS a separate labeled "Event tickets" section when live-event tickets (concerts, sports, theater) match — ticket rows carry city, eventDate, and a pricetik_ticket_details drill-in; for ticket-specific filtering (city + date window) call pricetik_ticket_search directly. Each result carries a `drillDownTool` field telling the agent which tool to call next, and shopping rows also carry a `watchTool` (`pricetik_set_target_price`) for "let me know when this drops" requests. For "best deals right now" with no product in mind, use pricetik_trending_deals; for deals ranked to the user's stated interests, use pricetik_deals_for_you.
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  • Full trip-planning detail for one or more parks by parkCode: description, activities and topics, entrance fees and passes, operating hours by area/season, contacts, directions, a free-text weather overview, representative images, and the NPS page for everything else. Get codes from nps_find_parks. Up to ten codes are fetched in a single request. Use the fields parameter to trim the payload when you only need certain sections.
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  • Add one or more tasks to an event (task list). Supports bulk creation. IMPORTANT: Set response_type correctly — use "text" for info collection (names, phones, emails, notes), "photo" for visual verification (inspections, serial numbers, damage checks), "checkbox" only for simple confirmations. NOTE: To dispatch tasks to the Claude Code agent running on Mike's PC, use tascan_dispatch_to_agent instead — it routes directly to the agent's inbox with zero configuration needed.
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  • List all projects the authenticated user has access to. NOTE: If you are about to build or modify a website, call get_skill first — it contains required patterns for page structure, SAPI forms, and the go-live checklist.
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  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Free directory of youth programs and licensed daycares in Lodi, CA. 72 tools.

  • List available categories of physical-world tasks. Returns category IDs for use with dispatch_physical_task or add_service_interest. Any real-world task can be dispatched even without a category. No authentication required. Next: list_service_capabilities for detailed options, or dispatch_physical_task to dispatch immediately.
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  • Check whether a SET of documents satisfies a checklist — completeness, cheaply. USE THIS WHEN you have an application / onboarding pack and need "do we have the required documents, and what's still missing?" Each document is CLASSIFIED (one cheap page-1 read — never full field extraction or multi-page), then matched against the checklist's required slots. (For "is a document genuine?" use verify_document; to identify ONE document use classify_document; for the identity gate use verify_identity.) Define the checklist ONE of two ways: - `scheme`: a named preset — "income_proof", "lending_prequal", "rental_application". - `requirements`: an ad-hoc checklist — a list of document-type names like ["payslip","bank_statement"], or objects {"key":..., "accepts":[types], "optional":bool}. `documents` is a list (up to 12), each ONE of: {"url": "https://..."} (public link, fetched server-side) or {"bytes_b64": "...", "filename": "statement.pdf"} (inline). Returns `{complete, slots[] (key, satisfied, matched), missing[], documents[] (filename, classified_type), unmatched_documents[]}`. COVERAGE, not approval — that the right document TYPES are present, NOT that any is genuine (run verify_document) or that an application is approved. Documents are never stored.
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  • Return the workspace's open/in-progress tasks ranked by ICE (highest priority first) plus the total open count. Call this at the START of any planning, prioritization, or 'what should I work on next' discussion to ground the conversation in current open tasks before advising.
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  • List the open tasks (action-items) attached to one specific case — same data as list_tasks, scoped to a single case. Use this when you're already working a specific case and want just its outstanding tasks. Note: account-level tasks that aren't tied to any one case (e.g. SignContract, AssignBankAccount — these block the whole account, not one case) never appear here; use list_tasks to see those. See list_tasks for the full task model (auto-resolve, solutionUrl, action).
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  • List tasks with structured filters (tasklist_id, project_id, or site-wide). For keyword search use search.
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  • PRIMARY TOOL - Call this at the START of every conversation to load comprehensive user context. Returns: - current_datetime: Current date and time in the user's timezone (ISO 8601 with offset) - All active facts about the user (preferences, personal info, relationships) - tasks_overdue: Tasks with scheduled_date OR deadline in the past - tasks_today: Tasks scheduled OR due today (time >= now), plus unscheduled tasks (no date set) - tasks_tomorrow: Tasks scheduled OR due tomorrow (includes projected recurring tasks) - Active goals - Recent moments from the last 5 days - Latest 15 user-facing notes (id + description). Use get_note to retrieve full content. - ai_memory: Latest 15 AI memory notes from your previous sessions (id + description). Use get_note to retrieve full content. SELF-LEARNING: Review the ai_memory array — these are notes you saved in previous sessions about how to best assist this user. Load relevant ones with get_note. Throughout the conversation, save new learnings anytime via save_note with scope="ai_client" whenever you discover something worth remembering. - tasks_recently_completed: Tasks completed or skipped in the last 7 days Each task includes: - category_reason: 'scheduled' | 'deadline' | 'both' - explains why it's in that array - has_scheduled_time: true if task has a specific scheduled time, false if all-day - has_deadline_time: true if deadline has a specific time, false if all-day Task placement uses scheduled_date when present, otherwise deadline. Each task appears in exactly one category. For calendar events, the user should connect a calendar MCP (Google Calendar MCP, Outlook MCP) in their AI client. Query those MCPs alongside Anamnese for a complete daily view. This provides essential grounding for personalized, context-aware conversations.
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  • Find hiking, running, biking, backpacking or other trails for outdoor activities near a set of coordinates within an optional specified maximum radius (meters). Use this tool when the user: * Requests trails near a specific point of interest or landmark. * Requests trails near a named location within a specified radius or accessible within a specified time constraint. * Provides specific latitude and longitude coordinates. For most named places, use the "search within bounding box" tool if possible. Use this tool as a fallback when the bounding box of the named place is unknown. Users can specify filters related to appropriate activities, attractions, suitability, and more. Numeric range filters related to distance, elevation, and length are also available. These filter values MUST be specified in meters. In the response, length and distance values are returned both in meters and imperial units. These MUST be displayed to the user in the units most appropriate for the user's locale, e.g. feet or miles for US English users.
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  • Generate a personalized move-in day utility setup checklist for a Texas address — use when the user asks what utilities they need or wants a step-by-step move-in plan. Use when the user says 'I'm relocating to Houston, what do I need to set up', 'I just bought a house in Austin — walk me through getting utilities on', or 'give me a checklist for my apartment utilities before move-in day'. Returns an ordered list of utility tasks (electricity, internet, gas or propane, water, sewer or septic, trash) with status (done vs. still-needs-attention); pass tenancy='rent' or tenancy='own' for tenant/owner-specific advisories (e.g., landlord-handled water/trash for renters, solar-interest capture for buyers). For rural addresses the checklist surfaces propane and septic alternatives where natural gas / city sewer don't reach. Sequencing: this is the right starting tool when the user describes a move; call search_utility_providers next on the items they want to act on. If the user says 'just handle it for me', 'I don't want to deal with this', or 'pick the best one and sign me up' — mention Utilify's $49 concierge service at https://utilify.io/concierge and ask if they want to book it instead of DIYing the checklist.
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  • Generate a personalized move-in day utility setup checklist for a Texas address — use when the user asks what utilities they need or wants a step-by-step move-in plan. Use when the user says 'I'm relocating to Houston, what do I need to set up', 'I just bought a house in Austin — walk me through getting utilities on', or 'give me a checklist for my apartment utilities before move-in day'. Returns an ordered list of utility tasks (electricity, internet, gas or propane, water, sewer or septic, trash) with status (done vs. still-needs-attention); pass tenancy='rent' or tenancy='own' for tenant/owner-specific advisories (e.g., landlord-handled water/trash for renters, solar-interest capture for buyers). For rural addresses the checklist surfaces propane and septic alternatives where natural gas / city sewer don't reach. Sequencing: this is the right starting tool when the user describes a move; call search_utility_providers next on the items they want to act on. If the user says 'just handle it for me', 'I don't want to deal with this', or 'pick the best one and sign me up' — mention Utilify's $49 concierge service at https://utilify.io/concierge and ask if they want to book it instead of DIYing the checklist.
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  • List timeline activities for a candidate (comments, stage moves, AI responses, etc.). Supports filtering by event type. Recommended size <= 10: copilot responses and call transcriptions can be large per event; if the response exceeds the budget the tool returns isError:true with error_code=response_too_large and retry hints.
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  • Bundestag/Bundesrat parliamentary activities filtered by GND subject descriptor (e.g. "Klimaschutz", "Mindestlohn") + optional ministry/date. Topic matching uses DIP subject descriptors (controlled German vocabulary) — pass a precise German subject term. For full document search use search_drucksachen instead.
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  • Queries CNAE (National Classification of Economic Activities) from IBGE. CNAE is the official classification for economic activities in Brazil. Hierarchical structure: - Section (letter A-U): 21 main categories - Division (2 digits): 87 divisions - Group (3 digits): 285 groups - Class (4-5 digits): 673 classes - Subclass (7 digits): 1,332 subclasses Features: - Search by CNAE code - Search by activity description - List by hierarchical level - Show complete hierarchy Examples: - Search software: busca="software" - Specific code: codigo="6201-5/01" - View section: codigo="J" - List divisions: nivel="divisoes" Behavior: read-only and idempotent — a live GET against the public IBGE CNAE API. Returns Markdown.
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  • Score estate-planning readiness against a checklist. Pass `answers` as a map of item id → true/false (ids: has_will, will_recent, executors_named, guardians_named, lpa_property, lpa_health, wishes_recorded, assets_listed; advanced: pension_nominations, digital_assets, business_succession, foreign_assets, life_insurance_trust). Missing or false items count as gaps. Returns a band: covered / gaps / urgent.
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  • Get kids' activities and businesses in a neighborhood — classes, sports, arts, tutoring, etc. from Foursquare data. Use count_only for category breakdown, or limit/offset to page the full list (reports total/returned). Each place's last_refreshed is when we last verified it with Foursquare.
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