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741,043 tools. Updated 2026-11-04 00:30

"Recommendations for MCP with Encapsulated UI Component Library" matching MCP tools:

  • Searches the components of every package assigned to the project by use case, behavior, or description, and returns up to 10 ranked matches with a relevance score. Read-only. Use it when you can describe what the UI must do but do not know the component name. The query is free-text describing the need, such as "date range picker" or "dismissible inline warning" - not a component name, not a glob, and not a props expression. Do not use it when the exact name is known (get_component is direct and returns the full spec) or when you want the complete catalog (list_components). Semantic ranking needs AI features on the Team plan or above; on other plans it falls back to name and import-path matching and the score is null. No close match returns an empty result list, not an error. Null scores or no results do not mean the component is missing: in that mode a use-case phrase often matches nothing, so choose from list_components by name and use note, or retry with a plain component word such as "button".
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  • Returns per-component breaking changes and a migration guide between an installed version of the project's active component package and the latest published version. Read-only: it reports an upgrade, it never performs one. Use it when planning or reviewing a component-library upgrade, or before bumping the package version in a manifest. current_version is the exact semver currently installed, e.g. "1.0.0" - not a range, so no leading "v", "^", or "~"; read it from list_packages when unsure. Passing the latest version returns an empty change set. It is not a per-component changelog and not a current spec - use get_component for one component today, and list_packages for what is installed. Requires update tracking, a Team plan feature; on lower plans it returns an upgrade-required error instead of data.
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  • Evaluates UI elements for accessibility issues that automated scanners miss. COST: $0.01 USDC via x402 on Base-compatible EVM network per call. Checks beyond what axe/Lighthouse/WAVE catch at the design stage: - Touch targets below 24×24px (WCAG 2.5.8 AA hard fail) - Touch targets below 44×44px (WCAG 2.5.5 AAA recommended) - Information conveyed by color alone without a secondary indicator (WCAG 1.4.1) - Missing focus indicators on interactive elements (WCAG 2.4.7) - Focus rings thinner than 2px (WCAG 2.4.11) - Focus ring contrast below 3:1 against adjacent background (WCAG 2.4.11) - Interactive elements below the practical usability height floor Args: - elements: Array of 1–50 UI element objects - screen_name: Optional label for the evaluation report Each element requires: element_type. Provide width_px/height_px for touch target checks. Provide uses_color_only + secondary indicator flags for 1.4.1 checks. Provide is_interactive + focus_visible + focus indicator properties for focus checks. Returns: Structured report with: - Per-element scores (0–100) and specific issues - Severity levels (critical/major/minor) with WCAG references - What automated tools miss and why - Concrete fix recommendations - Overall score and verdict (pass/needs_work/fail) - Top issues sorted by severity
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  • Present a selection of tours or activities to the traveler as a visual list of cards (photo, rating, price, booking button) rendered inline in the conversation. Showing cards is the default way to present tours to the traveler: whenever your reply features specific tours (recommendations, a shortlist, availability results), call this tool alongside your text instead of waiting to be asked. Don't re-render a selection you already showed unless it changed. Call it AFTER finding tours with the search tools — it is a presentation tool, not a search tool. If you already checked availability with get_product_availability, you can pass each item's sessions (date and start time) and the cards will highlight them with booking links preselecting the date. For clients without UI support the same data is returned as structured text.
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  • Returns the full specification for one component: import path, props schema, usage example, anti-patterns, when-to-use and when-not-to-use notes, Figma spec, and dependencies. Read-only. Call it before writing code that uses a component, so props and import path come from the design system instead of memory. The name argument must be the exact component name as returned by list_components or search_components (case-sensitive, no package prefix); an unknown name returns a not-found error rather than a near match, so resolve the name first with search_components if you are guessing. The result may carry a provenance warning when the record was LLM-generated and not yet reviewed - treat those fields as unverified. It covers one component at a time; use list_components to enumerate and get_component_updates for version-to-version changes.
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  • Frapea's BUILT-IN sound-effects pack — synthesized, licence-free, no API key, no download wait. Covers common UI and motion sounds; search_sounds is for what the pack does not (ambience, foley, a specific real-world object). Call with no `ids` to get the catalogue: each sound carries what it sounds like AND when to use it. Call with `ids` to copy them into the project's media pool as `sfx-<id>.wav` at the Library root; each result gives a mediaRef ready for add_clips on an audio track. Adding a sound already in the project is a no-op that returns its existing mediaRef.
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  • Search 357 React + Tailwind CSS v4 components, blocks and hooks, read their props and docs, and get install commands, so coding agents build UI with real components instead of guessing.

  • List, search, and inspect Ply Angular + Tailwind copy-in components.

  • Render a property's lot as an interactive UI component (inline SVG): a City of Portland aerial photo underlay (showing the true roofline) with the parcel outline, the building footprint(s) on the lot, approximate setback dimensions, a north arrow, and faint neighbouring parcels overlaid on top. Provide a detailType+detailId to fetch geometry, or pass rings directly. Aerial, footprints, and neighbours come from Portland's public ArcGIS layers; set basemap="none" to drop the photo and includeContext=false for just the bare outline. Renders in MCP Apps hosts (Claude) and legacy mcp-ui hosts.
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  • FALLBACK merchant list for clients WITHOUT UI support. Do NOT use this to choose or switch merchants when a UI is available — call `jobmojito_configuration` instead (it renders an interactive picker), and do not hand-format a merchant list as text. Use this tool only when the client cannot render MCP App UI. Returns the user's own account plus any sub-merchants; after a pick, pass `merchant_id=<chosen id>` on subsequent calls (OMIT for the own account).
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  • Fetch a Supero build reference. doc='skills' (default, the spec you MUST follow) | 'components' (the real pre-built SDK component/global catalog — read so you don't reinvent UI) | 'rubric' (the rich-app quality checklist — what 'stunning' means) | 'landing' (compact landing-page derivation + quality bar — MANDATORY read for public-facing apps) | 'integrations' (the EXACT services.* wrapper→service_id→args map for email/sms/stripe/ai/etc.) | 'web' / 'transactional' / 'workflows' / 'mobile' / 'services' (deep companion docs) | 'e2e_testing'. Returns the doc + a content version + the SDK floor to pin. Read 'skills' FIRST, then 'components' + a matching build_get_examples before you author UI. Docs are PAGED (~32KB/section): when the header says more:true, fetch the next section with offset=<next_offset> — never re-fetch from 0.
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  • Fetch a COMPLETE, production-quality reference app (schemas.py + config.py + setup.py + ui/app.js) to copy patterns from — the single biggest lever for app quality. archetype='index' (default) lists the available archetypes with per-file byte sizes; pick the one closest to your app ('commerce-marketplace' | 'service-booking' | 'ops-dashboard' | 'multitenant-portal' | 'saas-billing') and fetch it BEFORE authoring your UI. These are real 'stunning' apps; mirror their structure, how they art-direct the landing page, and their schemas — they hand-write most components (the SDK components catalog is optional, not what these mirror). Optional file= to fetch just one file ('schemas.py' | 'config.py' | 'setup.py' | 'ui/app.js'). Responses are PAGED (~32KB/section): when the header says more:true, fetch the next section with offset=<next_offset> — never re-fetch from 0.
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  • Install a single Workbench component by id (e.g. `node`, `opencode`, `npm-mcps`, `skills`) on a target; `component` must be an id from describe_workbench. Overwrites that component's files when present (e.g. `skills`/`plugins` replace the copies under `<home>/.config/opencode`); global installs need write permission and can take minutes. Idempotent and consent-gated: without `confirm:true` it returns the plan. Parameter semantics: `component` is required; `workspace` defaults to `~/opencode-workbench`; `confirm` defaults to false (plan only). Use it for one targeted component; use apply_clone to install the full default set.
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  • Retrieve a curated UI template by its search result id after search_ui_templates. For a relevant new page, replacement, substantial redesign, or reusable component, call this before implementation rather than stopping at the search summary. Returns original source files, SHA-256 hashes, pinned upstream revision, dependencies, author, license and Chinese/English integration prompt. Keep the original appearance. Large templates return omitted_files; retrieve each with file set to its exact name to get all sources without truncation. A large file returns next_offset: repeat with file_offset until null and concatenate content. Full required notices may be linked in license_notice_files. Set include_source=false for metadata only.
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  • Install a single Workbench component by id (e.g. `node`, `opencode`, `npm-mcps`, `skills`) on a target; `component` must be an id from describe_workbench. Overwrites that component's files when present (e.g. `skills`/`plugins` replace the copies under `<home>/.config/opencode`); global installs need write permission and can take minutes. Idempotent and consent-gated: without `confirm:true` it returns the plan. Parameter semantics: `component` is required; `workspace` defaults to `~/opencode-workbench`; `confirm` defaults to false (plan only). Use it for one targeted component; use apply_clone to install the full default set.
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  • Find foods to log or cook with: the person's own foods (library mine, the default; search it before making a new food), generic ingredients such as eggs, broccoli or rice (library composition, three characters or more), and packaged products by name, brand or barcode (libraries splot and off). This only searches. Pass a result's library and key exactly as food in create_meal, update_meal or a recipe ingredient. Use a short, specific query; if nothing matches, try a simpler query or another library, then ask for the label or offer a clearly marked estimate rather than searching again. A missing match says nothing about ingredients, nutrition or allergy safety.
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  • Return the full pin list (number, name, electrical type) and description for a specific KiCad symbol. For some high-risk power parts it also returns curated topology_constraints from datasheet-style application notes and footprint_suggestions. Use this before writing pin connections (e.g. mcu['VCC'] += vcc) so names, constraints and footprints match the symbol exactly. For a part found in KiCad, the result is ALSO enriched with that part's topology + required external parts from a datasheet database (merged into topology_constraints). For a part NOT in KiCad (search returned nothing), call this with library='custom' and name='<part number>': the component database returns its datasheet link, package and an UNVERIFIED machine-extracted pinout. That is not a symbol: register the part with create_custom_symbol, whose pinout is checked against the datasheet. Pass design_id so the lookup is recorded for the design's dossier and a registered part belongs to it. Give library and name, or up to 12 of them in parts.
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  • Return the full pin list (number, name, electrical type) and description for a specific KiCad symbol. For some high-risk power parts it also returns curated topology_constraints from datasheet-style application notes and footprint_suggestions. Use this before writing pin connections (e.g. mcu['VCC'] += vcc) so names, constraints and footprints match the symbol exactly. For a part found in KiCad, the result is ALSO enriched with that part's topology + required external parts from a datasheet database (merged into topology_constraints). For a part NOT in KiCad (search returned nothing), call this with library='custom' and name='<part number>': the component database returns its datasheet link, package and an UNVERIFIED machine-extracted pinout. That is not a symbol: register the part with create_custom_symbol, whose pinout is checked against the datasheet. Pass design_id so the lookup is recorded for the design's dossier and a registered part belongs to it. Give library and name, or up to 12 of them in parts.
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  • Read-only POST that returns Amazon-recommended keyword or ASIN targeting candidates before targeting entities are created. Supply exactly one source: adGroupId, or asins with adProduct. With adGroupId, the server resolves Campaign, advertising product, advertised ASINs, Sponsored Brands creative context, and Sponsored Display tactic from synchronized data. Sponsored Products supports KEYWORD and TARGET recommendations, Sponsored Brands supports KEYWORD and TARGET recommendations, and Sponsored Display supports TARGET recommendations only. Sponsored Display ASIN product recommendations require tactic T00020 because Amazon v3.3 does not support PRODUCT recommendations for T00030. TARGET currently means recommended ASIN product targets; category, brand, and audience recommendations are not included. Sponsored Products and Sponsored Brands TARGET responses can return nextToken for the next page. Pass that token back unchanged while keeping the original recommendation context. If Amazon rate-limits any page, the server does not retry and returns HTTP 429 with code TOO_MANY_REQUESTS; retain previously received items and retry only the failed page with the same nextToken. Each returned targeting object can be copied into a candidate bid-recommendation item together with the created adGroupId and targetingType, then used to create the selected target. This operation does not create or update advertising entities. Recommendations are retrieved from the Amazon Ads recommendation APIs using the authorized advertising profile and supplied context. Returned candidates are not limited to targeting entities already present in the user's advertising account. Use this tool first when the customer has not selected targeting candidates, then pass selected targeting objects to query_advertising_bid_recommendations before creation.
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  • Show the user an upload widget to add images or videos from their own device to the media library. Use this when the user wants to attach a local file to a post. When the media is already available on a public URL, use uploadFromUrlTool instead. The widget is only displayed by apps that support MCP Apps (interactive UI); in any other app no widget appears, and local files go through the public API (POST /public/v1/upload with an API key, https://hookbird.ai/docs/public-api/introduction). uploadFromUrlTool is only for public URLs. Returns a sessionId: the files the user uploads are reported in the conversation, and can also be read with uploadWidgetStatusTool.
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  • Show the user an upload widget to add images or videos from their own device to the media library. Use this when the user wants to attach a local file to a post. When the media is already available on a public URL, use uploadFromUrlTool instead. The widget is only displayed by apps that support MCP Apps (interactive UI); in any other app no widget appears, and local files go through the public API (POST /public/v1/upload with an API key, https://hookbird.ai/docs/public-api/introduction). uploadFromUrlTool is only for public URLs. Returns a sessionId: the files the user uploads are reported in the conversation, and can also be read with uploadWidgetStatusTool.
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  • Pause auto-apply for recommendation types — returns a PREVIEW. Pausing is the only change this tool can make: it sets each type's subscription to PAUSED, so Google stops applying those recommendations on its own. Their recommendations still appear in get_recommendations. Re-enabling auto-apply is deliberately not supported; it lets Google change the account without a preview, so it stays a decision for the Google Ads UI. Pausing reduces automation, so a single confirmation is enough. Each type must have an ENABLED subscription (see get_recommendation_subscriptions); a type with none, or one already paused, is refused by name. The dry run sends the request to Google with validate_only. The returned plan_id is applied with confirm_and_apply. Google Ads API: https://developers.google.com/google-ads/api/docs/start
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  • Get a curated, step-by-step guide for a common Orderly development task such as wallet connection, deposits, SDK setup, or placing orders. Returns exactly one best-matching workflow as Markdown with prerequisites, numbered steps, TypeScript examples, common issues, and related workflows; pass the task in natural language or a partial name, and a miss lists available workflows. Read-only lookup from bundled data — no network calls, credentials, rate limits, or side effects. Use for end-to-end tasks, not one-off lookups: get_component_guide for a known UI component, search_orderly_docs (scope 'sdk') for symbols, get_api_info for core endpoints, and the matching named tool for Indexer, Public Info, Orderly One, or Strategy Vault data.
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