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743,793 tools. Updated 2026-11-04 21:42

"Information about DeepSearch or related platforms/tools" matching MCP tools:

  • Write the run order for a project: which platforms, in what sequence, and why each one is where it is. Anything already submitted to is dropped from the plan and named back to you in `alreadySubmitted`, because a plan is what is still ahead. Pass the platforms in the order they should be worked, with a short reason on each, plus a summary of the strategy. The plan appears on the maker's dashboard as a checklist that ticks itself off as submissions land. Anything already tracked is reordered rather than reset. Call it after qualify_project, using the `recommended` list it hands back, and if that response carried `questions`, put them to the maker before you plan: the order depends on the answers, and a plan written on an assumption is one they have to undo by hand. A plan costs nothing on any plan, so plan the whole run the product deserves rather than a short one sized to a guess about what the account can track.
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  • All-in-one brand name check: domain availability across TLDs, username availability across the major social platforms, an optional 0-100 brand score, and USPTO trademark screening. Returns JSON with per-TLD and per-platform results (each with an availability verdict and 0-1 confidence), availability summaries, brandScore, and trademark risk. Use namesniper_check_domains or namesniper_check_social instead when only one dimension is needed. Free without an API key (rate-limited; trademark is skipped and Instagram/TikTok/X return best-effort HTTP confidence); a paid key unlocks verified accuracy on those platforms plus trademark screening.
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  • Leave feedback about AgentMarketplace itself — bugs, confusing tools, feature requests. This is for feedback about the platform, not about a counterparty. There is no reputation or rating system here — that lives in AgentTrust. Args: access_token: AgentAuth bearer token (requires ``market.read``). message: Free-text feedback, up to 2000 characters. Returns: ``{"recorded": true}`` on success.
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  • Load the last few recent messages and semantically related past turns. Call this before you compose your reply. Pass the user's latest prompt only. Vilix runs relevance retrieval internally. For anything more specific you may also call the optional search_semantic / search_keyword / recent_messages tools (e.g. when the user names a source like ChatGPT). Every retrieved item carries an ISO timestamp — when two items disagree about a changing fact (a plan, a status, a decision), the NEWEST timestamp is the latest known value. Related turns may include `context_before`/`context_after` (the adjacent turns) and the payload may include `also_related`: additional nearby matches as compact snippets, newest first — check it before concluding a fact is unknown or unchanged. `chat_id` — pass null (or omit) on a brand-new conversation to also receive `user_rules`, `system_behavior`, `active_projects`, and `active_project_state`. Pass the chat_id returned by a prior `save_turn` to skip those — they are already in the chat's own context from turn 1 and re-injecting wastes tokens. `recent_messages` and `related_conversations` are always returned (they're the cross-tool memory bridge). `attachment_context` (optional, default "") — if the user's CURRENT message has an attachment (file, image, code paste, screenshot OCR), pass a short plain-text summary of it here so retrieval can match on the attachment topic in addition to the bare prompt. Pass the SAME summary to `save_turn` for this turn. Empty = no attachment, ignored.
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  • Retrieve The Hill Kinabalu’s official public wedding venue and 2026/2027 package information, including capacity, event sizes, starting package prices, key inclusions, add-ons without prices, payment structures, and enquiry links. Use this when someone asks about weddings, wedding packages, the event venue, guest capacity, package pricing, or how to enquire. This tool does not check date availability or submit an enquiry.
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  • Search the CrowdSpace catalogue of crowdfunding and P2P lending platforms. Returns per platform: name, investment types, industries, country of headquarters, minimum investment, advertised return range, and the URL of its CrowdSpace profile. Use it to answer "which platforms let me…" questions and to cite specific platforms, always linking the returned profile URL. Do NOT use it for a full platform profile (fees, descriptions and terms are on the profile page, deliberately not in this API), nor for market-wide numbers — get_market_overview answers those in one call instead of paging through hundreds of results. Every filter value is enumerated in this schema; do not invent one. The catalogue keeps platforms that have stopped operating: a closed one is marked "no longer operating" in the result, and the count says how many of the matches are still running — say so rather than quoting the raw total as live platforms. Where a field is not in the result — fees, terms, the full description, the funding volume behind a sort — say it is not served here and link the profile. Do NOT fill the gap from your own knowledge: a figure you remember about a platform will be read as a figure from this catalogue.
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  • Research a person's public footprint from a name, phone, email, or username. Sourced.

  • About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.

  • Update a DRAFT or SCHEDULED post in place; any other status fails with "Cannot edit post in current state", so published posts cannot be changed. Updates are partial: text, contentType, scheduledAt, timezone, thumbnail fields, firstComments and platformThumbnails you omit keep their values; sending firstComments or platformThumbnails replaces every stored entry. The exception is platforms: sending it rebuilds the post's target set from this request alone, so include every connection-id array and platform config you want to keep (TikTok with privacyLevel, Pinterest with its boardId or boardName); omitting platforms leaves accounts, configs, and media untouched. mediaUrls only take effect together with platforms; use publicUrl values from upload_media. On SCHEDULED posts new media is verified in storage. Returns the updated post record. Use publish_draft to change a draft's status, unschedule_post to take a scheduled post off the calendar, delete_post to cancel, and create_post for a new post.
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  • Fetch complete, structured information about a single Amazon product: title, brand, images, feature bullets, description, Buy Box price and availability, Prime eligibility, rating and review count, Best Sellers Rank, category path, variants, specifications, and top reviews. This is the primary tool for product analysis, listing enrichment, and price monitoring. Use this tool when you need a full product profile. If you only need competing seller prices, use get_product_offers instead (cheaper context). If you only need the sales rank, use get_bestseller_rank. If you only need shipping dimensions or the FBA fee category, use get_package_dimensions. Provide EITHER the identifier field OR url — never both. Costs 1 credit; set a_plus_content to true only when the user explicitly asks about enhanced brand content, as it costs 1 extra credit.
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  • Sourced facts about a country's tax system: when and why its GST/VAT was introduced, what it replaced, and memorable, true stories (court cases, elections, odd rulings) — each fact linked to its own source. Omit country for a primer on what a consumption tax is plus famous tax stories from history. Pass topic to keep only facts about one tax (each fact lists its topics). Use it for background, explainers, teaching or a conversation opener; for any rate or amount use tax_rate_lookup, compute_gst_vat or the estimate tools, because facts are dated stories, not live figures. Countries without curated facts return the list of countries that have them rather than an invented one.
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  • Search the PUBLIC Awareness knowledge graph — 1,000+ sourced scientific papers. Use this when the user (especially a researcher or a research agent) asks for peer-reviewed findings: "latest evidence on X", "highly-cited papers about Y", "what does the literature say about Z". This is NOT a memory tool — it does not read the user's private memory, and it needs no per-user API key, so it works even when Awareness memory is not configured (the MCP connection itself still needs its own token). Coverage: condensed-matter, quantum-information, materials, machine-learning, renewable-energy, chemistry, biology, medicine, neuroscience, computer-science (2022-2026, cited >= 50), plus a business supply/demand domain. What comes back (anonymous preview mode): title, snippet (preview), confidence, source_ref (DOI), citation_count, domain/topic, and a detail page URL. Full content is NOT in the preview — tell the user it is paid retrieval via POST /api/v1/public/retrieve with an API key (see https://awareness.market/en/knowledge for the KaaS product). Args: query: Natural-language research question or keywords (2-1000 chars). domain: "science" (default) or "business". topic: Optional sub-topic slug, e.g. "medicine", "condensed-matter", "supply-chain". Empty = search all topics in the domain. top_k: Max results, 1-20 (default 5; anonymous callers are capped at 3). include_graph: When true, also return same-topic related items. Returns: {"results": [{id, title, snippet, confidence, source_ref, citation_count, domain, topic, url}], "related": [...], "total": int, "mode": str} `mode` is "preview" (anonymous) or "full" (authenticated).
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  • Checks whether a name/handle is available on 70+ platforms at once: domain names (.com, .fr, .io, .app…), social networks (Instagram, TikTok, X, YouTube…), creative and dev platforms (GitHub, Behance…), e-commerce, freelance, gaming and company registries. Takes 5-15 s on first call (results cached 10 min). Statuses: available, likely_available, taken, manual (cannot be checked automatically), unknown (check failed). Never present manual/unknown results as available. Available domains come with a registration link. Each call is a full live search: to compare many name ideas, first use check_domains (up to 10 names per call), then check_name only on the shortlist.
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  • List the public MCP servers whose tools apiwatch checks every 6 hours (tools/list only, no login, no tool calls), with each one's status (answering, needs a login, not reachable), tool count, last check and last observed change. Use it to see which servers mcp_server_changes can answer about. Returns no tool descriptions.
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  • Use this only when someone asks about Pulore's own work or experience, for example whether Pulore has built something like their idea. Finds published Pulore case studies related to a topic, matching industry, platform, services and technology tags, and returns each project's summary and link, with timeline, team size and results where the case study publishes them. Searches the case-study files bundled with this server; it does not browse or modify external sites. Returns nothing when no project matches. Don't use it to find examples of other companies' products.
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  • Queue a saved AI Visibility run from prompts x platforms or explicit probes. Use this when the user wants reportable probe results, not just prompt ideas. This starts queued work and returns quickly with a run_id; poll get_sleepwalker_visibility_run_status until the run is terminal instead of creating duplicate runs. Platforms accept canonical slugs or common labels: perplexity, openai/ChatGPT, grok, gemini. To pin AI models, pass the models map with matrix mode (per platform) or set model on explicit probes (per probe); values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Every model has its own per-probe price, defaults included; call list_sleepwalker_visibility_models for the exact credits_per_probe before quoting cost. Results record the exact model that answered each probe. The response includes credit fields when credits are reserved.
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  • Built-in product help — a natural-language "how do I…" question about Fastio returns a grounded, product-aware answer (or a short clarifying question) in one call. EXPLAIN-ONLY / ADVISORY: it returns GUIDANCE TEXT and performs NO platform action (it will not create shares, move files, or change anything); the actions themselves are on the other tools. Answers are grounded in Fastio's own how-to knowledge AND phrased in terms of these MCP tools — they name the concrete `<tool> action="…"` calls, in place of guessed endpoints or exploratory calls. Q&A over the user's uploaded files (RAG) is the `ai_manage` tool; `how-to` answers questions about Fastio ITSELF. Costs no credits; needs only an authenticated user (no org needed). action='describe' gives the full action/param reference.
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  • Return the values that actually exist in the catalogue for filtering a search: sizes, conditions, source platforms, artists, designers, and the price range. Use this before search_pieces when you want to build a precise query from real values rather than guesses. For example, to check which sizes of a garment are genuinely listed right now, or which platforms currently carry a given collection.
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  • Browse the ComOS network's composable platforms as a recursive catalog. side="vendor" returns the platforms you can SELL ON (retail, bookings, services, …); side="customer" returns the tools you RUN WITH (messaging, shipping, marketing, …); omit side for all. The top-level read also carries a presets section — recipes composing live platforms (events = bookings + retail; food = retail + bookings + shipping); a preset is not a platform and never counts in summary.total (CO 455). parent="<key>" descends into a platform's sub-catalog — e.g. parent="messaging" returns its channels (email, sms, dm). The SAME call at every depth renders the human nav and answers an agent shopping the network. Pairs with federation_catalog_agents: platforms are what you become; agents are the operators you hire to run them. Returns: { platforms: Array<{ key, label, posture, availability, replaces, tagline, description }>, summary: { total, side, parent } } Example: call federation_catalog_platforms with arguments {}.
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  • Enter a tenant to receive its tool surface (progressive disclosure). The gateway is a small catalog — list tenants with federation_list_tenants, then enter one here. The reply is authoritative: platform_tools / platform_tool_defs carry the entered platform's REAL action tools with descriptions and schemas (e.g. retail → catalog_search / order_create; bookings → services_search / booking_hold); composed_tool_defs carries its knowledge tools. Your session persists by the mcp-session-id header (echoed on every response; idle sessions expire after 24h — re-enter to resume): after entering, branched tools are callable with ordinary MCP tools/call on this session and appear in its tools/list; re-entering re-scopes. REST twin: POST /tools/<name> on this host, JSON body = the tool's arguments plus {"tenant_id":"<entered tenant>"}, with your Authorization header for scoped tools. Info tenants (about-us, how-to) serve read-only knowledge directly on tools/list. Returns: { platform_tools: [...] } — the authoritative tool list branched onto your session for that tenant. Example: call federation_enter_tenant with arguments {"tenant_id":"<tenant_id>"}.
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  • Browse the ComOS network's composable platforms as a recursive catalog. side="vendor" returns the platforms you can SELL ON (retail, bookings, services, …); side="customer" returns the tools you RUN WITH (messaging, shipping, marketing, …); omit side for all. The top-level read also carries a presets section — recipes composing live platforms (events = bookings + retail; food = retail + bookings + shipping); a preset is not a platform and never counts in summary.total (CO 455). parent="<key>" descends into a platform's sub-catalog — e.g. parent="messaging" returns its channels (email, sms, dm). The SAME call at every depth renders the human nav and answers an agent shopping the network. Pairs with federation_catalog_agents: platforms are what you become; agents are the operators you hire to run them. Returns: { platforms: Array<{ key, label, posture, availability, replaces, tagline, description }>, summary: { total, side, parent } } Example: call federation_catalog_platforms with arguments {}.
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  • Enter a tenant to receive its tool surface (progressive disclosure). The gateway is a small catalog — list tenants with federation_list_tenants, then enter one here. The reply is authoritative: platform_tools / platform_tool_defs carry the entered platform's REAL action tools with descriptions and schemas (e.g. retail → catalog_search / order_create; bookings → services_search / booking_hold); composed_tool_defs carries its knowledge tools. Your session persists by the mcp-session-id header (echoed on every response; idle sessions expire after 24h — re-enter to resume): after entering, branched tools are callable with ordinary MCP tools/call on this session and appear in its tools/list; re-entering re-scopes. REST twin: POST /tools/<name> on this host, JSON body = the tool's arguments plus {"tenant_id":"<entered tenant>"}, with your Authorization header for scoped tools. Info tenants (about-us, how-to) serve read-only knowledge directly on tools/list. Returns: { platform_tools: [...] } — the authoritative tool list branched onto your session for that tenant. Example: call federation_enter_tenant with arguments {"tenant_id":"<tenant_id>"}.
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  • Get care plan material for a specific NANDA-style nursing diagnosis: its definition, related factors (the "related to" clause), defining characteristics (the "as evidenced by" clause), SMART goals, interventions, and the conditions where it is a priority. Use when a nursing student asks about a diagnosis rather than a disease, for example "risk for infection", "acute pain", "impaired gas exchange", "ineffective coping" or "risk for falls", or asks how to write a three-part diagnosis or an AEB statement. Educational reference, not medical advice.
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