Find past decisions, implementation details, bugs, and architecture choices by searching workspace-specific conversation history. Supports keyword queries, date filters, and context around matches.
MIT
525,695 tools. Updated 2026-09-06 22:41
"Toptal" matching MCP tools:
- Retrieve relevant messages from all workspaces by semantically searching conversation history to find past decisions, user preferences, and coding patterns.MIT
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- Search and retrieve past conversations from Kiro IDE sessions. Filter by date range, context size, and similarity threshold to find specific discussions.MIT
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Matching MCP Connectors
Import duty into Canada only. By HS code and origin: tariff, surtax, quota, anti-dumping.
Read-only MCP tools for Total Parks-listed Australian holiday parks, caravan parks, and campgrounds.
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- Look up base Canadian duty rates for an HS/tariff number (e.g. '0101.21.00.00'), plus any tracked surtax/trade-measure orders whose HS coverage might overlap it. as_of defaults to today (YYYY-MM-DD). This returns EVERY treatment code on the tariff item, most of which do not apply to any one shipment — use resolve_duty with a country of origin to get the one that actually applies to a specific import. Some rows carry treatment_label: null; a null is a gap in this service's own data, not a signal about what the treatment is — check unlabeled_treatment_codes and never call one an FTA or infer its identity yourself.ConnectorNo auth
- Use this for open-ended discovery and inspiration questions such as finding parks near a place, matching structured filters, or ranking by a trip vibe. Accepts structured search.v1 geo, filter, vibe, paging objects, and natural_language original wording, and returns lightweight public property_ref/property_url candidates with matched signals, channel_state and canonical actions. Request to Book sends an unconfirmed request to the park; directory-only results have a neutral View park handoff. Fill structured fields you are confident about and also pass the traveller's phrasing in natural_language; structured geo/filter/vibe fields take precedence, and natural_language only augments deterministic alias recovery and vibe ranking. This tool resolves places with geo.type='place' and geo.query, and family-friendly prompts should use the soft vibe.traveller_appeal=['families'] preference rather than an unsupported hard family_friendly filter. To filter on amenities or curated highlights (campfires, pools, pet-friendly, waterfront, etc.), call tp_search_filter_options to discover the catalog, then pass filter.feature_names/filter.highlight_names; the server resolves them to canonical feature_ids/highlight_ids. For room/site option wording such as ensuite, drive-through, slab, powered, unpowered, tent-only, accessible, spa, pet-friendly cabin, or pet-fee, set filter.option_facets and still include the traveller's original wording in natural_language. For off-site needs, use filter.local_proximity entries with a topic and maximum straight-line kilometres. Supported topics are supermarket, pharmacy, boat_ramp, dump_point, ev_charging, beach, and brewery; multiple entries are ANDed. Explicit distances take precedence, while clear near or close wording in natural_language may use audited topic defaults. Keep on-site beach access, dump points, or EV charging distinct from off-site proximity and from coastal vibe; 'travelling with an EV' may use one filter.any_of group for on-site or nearby charging. Never present these distances as walking or driving distance. Missing or stale local evidence means unverified, not that no venue exists. For an explicit Google star threshold, set filter.min_google_rating; properties with a lower or missing cached Google rating are excluded. Do not invent a numeric threshold from vague wording such as top-rated. When quoting a score, identify it as a Google rating. For dog-friendly or pet-friendly searches, also set filter.pet_friendly=true. This discovery tool does not accept booking intent and does not verify pets, rig fit, dates, restrictions, or price. For open-ended searches with dates, guests, rig details, or pet intent, use tp_search_stays. For a concrete stay at a chosen park, call tp_assess_stay. When the answer is ready for presentation, pass this search output to tp_render_result_cards once; this data tool does not render a widget itself.ConnectorNo auth
- Use this exactly once after the data calls are complete and the host can display MCP Apps UI. Pass search_response for search-only cards, assess_stay_result for one assessed park, or both to render a final stay shortlist: the assessed park's room/site options first, followed by up to three compact planning-level fallback parks from the search. The assess_stay_result must be the park selected as the recommendation in the answer. When the traveller asked for parks near a place or landmark (town, ferry port, airport), recommend the same-tier candidate with the smallest geo matched_signals[].detail.distance_km. Do not recommend a farther park just because it ranks higher on vibe or quality. Optional fallback_property_refs chooses and orders alternatives. Do not call this after each intermediate search or assessment. This tool does not search again, change ranking, create a cart, hold inventory, take payment, or confirm a booking; clients without UI support can ignore it and use the plain structured output from the data tools.ConnectorNo auth
- Use this for open-ended stay searches where the traveller supplies booking intent such as fixed dates, flexible date windows, guest counts, rig details, pets, or an accommodation kind alongside destination, filter, or vibe signals. Accepts structured search.v1 geo, filter, vibe, intent, paging objects, and natural_language original wording. Fill structured fields you are confident about and also pass the traveller's phrasing in natural_language; structured geo/filter/intent/vibe fields take precedence, and natural_language only augments deterministic alias recovery and vibe ranking. Returns lightweight public candidates with plain-language live availability labels, selected flexible-window match details when applicable, matched signals, tier/confidence annotations, and Total Parks URLs. Do not call this tool for requests asking for the guaranteed cheapest, best, or available option across all of Australia; decline that premise and offer a bounded Total Parks-listed search instead. For whole Australian states, use filter.states such as ['TASMANIA']; do not invent geo.type='state'. For month-wide or anywhere-in-date-range searches, use intent.flexible_window instead of probing several fixed weekends. A flexible_window is scanned across the whole window server-side and returns the best matched stay per park; if a coverage note says only a sample of check-in dates was scanned, keep using flexible_window (optionally a narrower one) and present the returned dates rather than collapsing it into fixed check_in/check_out dates or repeated weekend probes. Put dog and pet facts inside intent.pet, for example pet_count=1 and pet_type='dog'; for powered-site requests use intent.equipment.power_required=true. Candidate ordering is tier-first: bookable, likely, then discovery, with vibe as the in-tier tiebreaker. When the traveller asked for parks near a place or landmark (town, ferry port, airport), recommend the same-tier candidate with the smallest geo matched_signals[].detail.distance_km. Do not recommend a farther park just because it ranks higher on vibe or quality. Pet and big-rig hard constraints use Total Parks capability data; confirmed support can keep a candidate in Bookable, while missing or raw-only evidence is labelled unverified and demoted rather than hidden. Availability comes from Total Parks live inventory (PMS-synced): use the returned status_label phrase, not raw status enums. Search does not create a cart or hold inventory. Present rates as Total Parks live inventory prices confirmed at checkout. Capability-backed pet labels are search evidence; use tp_assess_stay for a concrete stay verdict on pets, restrictions, and quote. To filter on amenities or curated highlights, call tp_search_filter_options to discover the catalog, then pass filter.feature_names/filter.highlight_names and let the server resolve them to canonical feature_ids/highlight_ids. For room/site option wording such as ensuite, drive-through, slab, powered, unpowered, tent-only, accessible, spa, pet-friendly cabin, or pet-fee, set filter.option_facets and still include the traveller's original wording in natural_language. For off-site needs, use filter.local_proximity entries with a topic and maximum straight-line kilometres. Supported topics are supermarket, pharmacy, boat_ramp, dump_point, ev_charging, beach, and brewery; multiple entries are ANDed. Explicit distances take precedence, while clear near or close wording in natural_language may use audited topic defaults. Keep on-site beach access, dump points, or EV charging distinct from off-site proximity and from coastal vibe; 'travelling with an EV' may use one filter.any_of group for on-site or nearby charging. Never present these distances as walking or driving distance. Missing or stale local evidence means unverified, not that no venue exists. For an explicit Google star threshold, set filter.min_google_rating; properties with a lower or missing cached Google rating are excluded. Do not invent a numeric threshold from vague wording such as top-rated. When quoting a score, identify it as a Google rating. For dog-friendly or pet-friendly stay searches, set filter.pet_friendly=true and put the declared pet facts under intent.pet. Use tp_assess_stay for a concrete stay verdict, or normal Total Parks checkout to book. If this search completes the answer, call tp_render_result_cards once with search_response. If you assess one or more candidates, do not render the intermediate search; wait and choose the recommended assessment. When the traveller asked for parks near a place or landmark (town, ferry port, airport), recommend the same-tier candidate with the smallest geo matched_signals[].detail.distance_km. Do not recommend a farther park just because it ranks higher on vibe or quality. Then render once with both that assessment and this search response.ConnectorNo auth
- Use this to discover the structured filters accepted by tp_search_parks and tp_search_stays before filtering on amenities or curated highlights. Returns Total Parks features (e.g. pools, campfires, laundry) and curated highlights (e.g. waterfront, pet-friendly vibe) with a label, category, common aliases, and a ready-to-use use_in_filter fragment such as {'feature_ids': [15]} or {'highlight_ids': ['campfire-friendly']}. Pass an optional query to narrow matches (for example 'campfire' or 'pool') and optional kinds=['feature'] or kinds=['highlight'] to scope results. Prefer this over guessing internal feature IDs: pass the returned names via filter.feature_names or filter.highlight_names, or merge the use_in_filter fragment directly. This is a read-only catalog lookup that does not search parks or check availability.ConnectorNo auth