"A resource for conducting deep research" matching MCP tools:

• transit_departuresA

  InfraNodeA

  Get live public-transport departures with real-time delays for a stop. Sourced from GTFS-RT/HVV/VGN. Unlike the static stop list (``get_city_resource(slug, resource='transit')``), this returns minute-fresh departures including delay for ONE stop. A ``stop_id`` is required: fetch the city's transit stops first to discover valid stop IDs, then pass one here. Read-only.

  ConnectorNo auth

• searchA

  UseMyContext.aiA

  Search the user's files by filename and return matching documents in the deep-research result shape. ALIAS: this is the SAME search as search_files (same data, same permissions) - use it when your client requires the id/title/url search contract (ChatGPT deep research); otherwise prefer search_files for richer file metadata. Each result's id can be passed to fetch (or get_file) to read that document. Read-only; nothing is written, so it is safe to call.

  ConnectorNo auth

• delete_ad_groupA

  GrowomatA

  Delete an ad group. By default the call fails with a 409 when the ad group still has dependent ads or keywords — pass cascade=true to delete them in the same request. Permanently deletes the resource. Irreversible. Scoped to the active Space — see set_active_space to switch, or pass space_id to override for this one call.

  Connector

  Destructive

  API key

• get_resourceA

  Plato's KallipolisA

  Retrieve one complete prepared resource profile, including evidence-backed facts and primary-source provenance, by its stable resource ID.

  ConnectorNo auth

• list_sandbox_topicsA

  Uphealth SignalA

  List the curated sandbox topic labels that define the free Discovery corpus — every topic federally-sourced and audience-safety-checked. Use it to preview what content domains exist before creating a stream. Does NOT enumerate messages — the corpus stays internal. For the full live template catalog + gating contract, read the signal://catalog resource.

  ConnectorNo auth

• verify_businessA

  BizVerifyA

  Confirm a specific, named business in one jurisdiction — the PRIMARY tool whenever the user wants to verify, check, confirm, or look up a company's existence, status, good standing, or details (e.g. "verify Acme LLC in Delaware", "is Acme registered in FL?", "I need to verify a company in Delaware"). If the user has verification intent but has not given the exact company name, ASK them for the name and use THIS tool — do NOT fall back to search_entities. Two tiers: quick (1 credit) returns existence + status + good-standing. Deep (15 credits, or 25 with force_refresh) adds entity type, formation date, registered agent, officers, principal address, and filing history. Deep is available in a subset of jurisdictions; requesting deep where unavailable returns a quick result with a reason. Requires authentication. A completed verification deducts credits whether or not the business is found — a confirmed no-match is a result. Calls that cannot produce an answer (source unavailable or timed out) are refunded.

  ConnectorNo auth

• station_board_arrivalsA

  InfraNodeA

  Get live arrivals for ANY railway station by its EVA number. Mirror of ``station_board_departures`` for arriving trains (all categories, real-time delays, disruption messages). Get the EVA from ``get_city_resource(slug, resource='stations')``. Read-only.

  ConnectorNo auth

• read_resourceA

  UK Legal ResearchA

  Read a registered server resource URI, not an ordinary web URL. USE WHEN you have a judgment://, legislation://, hansard://, or server:// URI returned by this server. Do not use for https:// URLs; use the source-specific tool instead (for a canonical GOV.UK HMRC internal-manual URL, call hmrc_get_manual_page). Returns the resource content as a string. Binary content is base64-encoded. AFTER calling, use the returned primary-source content and URI in citations; if the URI is rejected, follow the named source-specific tool rather than treating the URL as retrieved evidence. Source: registered UK Legal MCP resource providers.

  ConnectorNo auth

• reset_sessionA

  VARRD — Statistically Validated Trading Edges + AI Research EngineA

  Kill a broken research session and start fresh. Use this when a session gets stuck, produces errors, or enters a bad state. Free — no credits consumed. After resetting, call research without a session_id to start a new clean session.

  Connector

  Destructive

  No auth

• law_read_resourceA

  UK Business Tools - LedgerhallB

  Read a registered server resource URI, not an ordinary web URL. USE WHEN you have a judgment://, legislation://, hansard://, or server:// URI returned by this server. Do not use for https:// URLs; use the source-specific tool instead (for a canonical GOV.UK HMRC internal-manual URL, call hmrc_get_manual_page). Returns the resource content as a string. Binary content is base64-encoded. AFTER calling, use the returned primary-source content and URI in citations; if the URI is rejected, follow the named source-specific tool rather than treating the URL as retrieved evidence. Source: registered UK Legal MCP resource providers.

  ConnectorNo auth

• create_relational_databaseA

  mcpB

  Provisions a managed MySQL (or MariaDB) database on a dedicated VM on your private network - the relational-database resource (use this instead of create_database when the app needs MySQL/MariaDB, e.g. WordPress, NextCloud, Matomo, many PHP/LAMP apps). Requires a recent plan_managed_datastore. For app deployments, prefer deploy_app database:'managed' with db_engine mysql/mariadb so plan_deploy includes and wires the DB automatically. It is PRIVATE - reachable only from another instance on the same private network, via the DB's internal/private IP (port 3306), not a public address. Get the ids from plan_managed_datastore/list_flavors/list_private_networks/list_keypairs. Provisioning takes ~5 min; poll list_relational_databases until status='ready', then the connection details (private_ip, port 3306, db_name, db_user) are populated. MySQL is created with mysql_native_password auth so older clients/apps connect cleanly. (ClickHouse is a separate resource - use create_clickhouse / list_clickhouse_databases.)

  ConnectorNo auth

• list_sandbox_topicsA

  Uphealth SignalA

  List the curated sandbox topic labels that define the free Discovery corpus — every topic federally-sourced and audience-safety-checked. Use it to preview what content domains exist before creating a stream. Does NOT enumerate messages — the corpus stays internal. For the full live template catalog + gating contract, read the signal://catalog resource.

  ConnectorNo auth

• list_capabilitiesA

  eDiscovery Decoder News/CalcA

  List the full eDiscovery Decoder MCP surface — every tool, prompt, and resource, plus the suggested demo flow and safety boundaries — with an example prompt for each. Call this first when you are unsure which tool fits the user's question, or when tool-search shows only a partial list.

  ConnectorNo auth

• get_pdfA

  turnaleA

  The printable PDF itself, returned as a base64 embedded resource — use this when the organiser wants the file handed to them and your client cannot fetch URLs. Default "sheet": the merged tournament document (match sheet with write-in score boxes, player sheet, standings/results when they exist). "results" and "plan" are deprecated pre-merge variants kept for comparison. For a lighter response, get_pdf_link returns download URLs instead.

  ConnectorNo auth

• searchA

  UneedA

  Use this when a deep research run needs to look up digital tools and products on uneed.best. Same catalog and same relevance ordering as search_products, returned as `{id, title, url}` documents; pass a result's id to `fetch` for the full profile. Prefer search_products when you want structured product fields directly.

  ConnectorNo auth

• x_searchA

  Veezee: LinkedIn people & company data for agentsA

  Search X by keywords. type picks the mode: recent (default) is the deep chronological sweep and keeps paginating as far as you follow the cursor; popular returns the highest-engagement tweets for the query; people finds accounts and returns a single page (no cursor). Advanced query operators pass through verbatim, e.g. "from:nasa", "min_faves:100", exact phrases in quotes -- there is no separate date parameter, so use since:/until: operators for time windows. Costs 6 credits per page; a cursor page is a NEW call priced the same way, so a deep sweep costs linearly in pages. Returns tweet summaries (text, author with follower count, views, likes, retweets, replies, created_at, url, id) with a cursor. Fetch one tweet's full detail with x_get_tweet and an account's timeline with x_get_tweets. For comment-level sentiment inside topic communities, reddit_search type=comments is usually the sharper instrument.

  ConnectorOAuth

• searchA

  SMI Aware AssistantA

  Open-ended discovery across SMI deep reports, research bundles, and exports when you do not already have a record id — finds candidates by subject name, url, or keyword and returns typed references to pass to fetch. If you already have a record id from the conversation rather than from a search result, call the specific tool instead: smi_get_deep_report or smi_get_export to read one record, smi_check_order_complete for order readiness, smi_list_deep_reports or smi_list_exports for filtered listings, smi_get_report_findings for findings within a report. Deep reports and research bundles are filtered server-side by subject first/last name, broadening to an unfiltered fetch ranked client-side (across id, name, url, summary) when the filtered fetch finds nothing; exports match on url.

  ConnectorOAuth

• manage_catalogA

  VepathosA

  Add or change a vehicle, a depot or a fleet saved in the account: master data that stays after this conversation. Call it only when the user asks to add, save, rename, move or edit one ('add a 1,500 kg Sprinter', 'make a fleet called norte with 6 vans'). Not for one plan: how many vehicles a run uses, a capacity or a depot for today only are plan settings: pass them to optimize_routes and save nothing. 'Use 25 vehicles' is a plan setting, never 25 new vehicles nor a fleet of 25. resource=vehicle takes name, max_weight_kg and max_volume_m3: one vehicle per call, it is a type with its capacity. resource=depot takes name, latitude and longitude: an address goes through geocode_addresses first; tell the user the matched address and never invent coordinates. resource=fleet takes name and vehicles: a vehicle_id from list_fleet and the units the fleet owns standing. It groups vehicles already saved: save the vehicle first and use the id it returns; on update, vehicles replaces the whole list. action=create needs the name (coordinates for a depot, vehicles for a fleet); a name the account already has returns that row (outcome=already_existed) when the values match and NAME_TAKEN when they differ: ask whether to update it or use another name. action=update needs resource_id (a vehicle_id, depot_id or fleet_id from list_fleet) and the fields to change; what is omitted stays as it is. Say what will be saved and get a yes first. Does not consume plan stops.

  Connector

  Destructive

  OAuth

• searchA

  Cubite LMS: Learning Management SystemA

  Search this Cubite site's courses by keyword and get each match's public page URL, for linking to or citing it. This is the search half of the search/fetch pair that ChatGPT connectors and deep research require. The whole query is matched as one case-insensitive phrase, so use one or two distinctive words. Courses match on name or description and are listed in name order; a course without a URL slug has no public page and is never returned, while courses hidden from the catalog are. Returns up to 10 results as {id, title, url}; pass a result's id to `fetch` for its citable text. It is not an inventory: to list, count or manage courses use course_list, which has no keyword filter but returns every course, with or without a slug, with its id, settings and enrollment count.

  ConnectorAPI key

• researchA

  SuprsonicA

  Multi-step deep research: search, scrape, enrich entities, and synthesize into a cited report. Returns a report (title, summary, sections, key findings, confidence) with numbered sources and the people and companies it found, enriched. Use for a question that needs many sources and a synthesized, cited answer. It takes far longer and costs more than search, which suits a quick fact. Cost: standard 10 credits, deep 20 credits, comprehensive 35 credits, charged only when a call succeeds. Options change it: include_analysis true +5, academic in source_types +2, enrich_entities false -3, synthesis false -5.

  ConnectorNo auth

• search_lacunaA

  Lacuna Research MCPA

  Search Lacuna's ML/AI corpus for papers, research directions, authors, venues, institutions, novel research hypotheses, and research resources (code repositories, datasets, models, and demos linked to papers). For novel ML/AI research ideas, use search_type="hypothesis", then get_hypothesis on promising results. search_type accepts all, cluster, paper, author, institution, venue, hypothesis, or resource. Use paper for literature and get_paper to read a result. Use other sources for biographies, news, and non-research web content. Resources: search_type="resource" searches GitHub repositories, Hugging Face datasets/models, and Zenodo records that Lacuna has linked to at least one paper. To find benchmark or evaluation datasets, use search_type="resource" with resource_kind="dataset" (for example query "image classification benchmark" or a dataset name like "ImageNet"). resource_kind accepts codebase, dataset, model, or demo (one value or a list); provider accepts github, huggingface, or zenodo. Both filters require search_type "resource" or "all" (with either filter set, only resources are returned). Each result has an external `url`, a Lacuna `context_url`, and `linked_paper_count`; call get_resource on its id to list the linked papers (with their relationship to the resource), then get_paper on those papers for reported results and numbers. Resource search does not support date_from/date_to, venue, year sorting, or semantic ranking. ranking_profile accepts: - default / lexical (default): production ranking; relevance-sorted paper searches combine lexical and semantic retrieval when fields is unset. - semantic: conceptual paper retrieval; supported for paper and all. - bm25_title_abstract / bm25: lexical paper matching over those fields. sort accepts relevance (default), year_desc, or year_asc. Semantic ranking cannot use year sorting; constrain recency with date_from/date_to instead. date_from and date_to are inclusive YYYY, YYYY-MM, or YYYY-MM-DD bounds. author_id_or_url constrains a paper search to one author. Pass an author ID or Lacuna author page URL; it requires search_type="paper". fields optionally restricts and weights lexical fields, for example "title^4,abstract". Supported names are title, abstract, summary, concepts, name, top_names, and venue, plus description, topics, provider_key, and paper_titles for resources (a resource's title already includes its description, topics, README text, and linked paper titles). Fields must exist on the selected search_type, weights must be within 0 < weight <= 100, and fields cannot be combined with semantic ranking.

  ConnectorNo auth