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298,001 tools. Last updated 2026-07-14 10:19

"A JavaScript library for building user interfaces (React)" matching MCP tools:

  • Start here when building an application. Returns an overview of what the AdCritter platform offers and a catalog of feature guides you can query with the adcritter_guidance tool to learn how to build each part of the app. Call adcritter_guidance(key) for any feature area to get detailed building instructions with API endpoints and response shapes.
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  • Is this specific multi-package version combo verified to work together? USE WHEN: pinning a stack (next@15 + react@19 + node@22); before recommending a version matrix. RETURNS: {compatible, conflicts[], notes}.
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  • Find which documentation SETS exist whose NAME matches a substring (e.g. "python" → Python 3.x, "react" → React). Returns doc SETS, NOT their content — this does NOT look up a function/method/API name. To search inside a doc for an entry like "Array.map" or "fetch", use search_index (slug + query).
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  • Search GitHub repositories, conversations (issues+PRs), or code, with full GitHub search syntax in the query: qualifiers (repo:, org:/user:, language:, path:, symbol:, content:, is:, stars:, label:, sort:stars), boolean AND/OR/NOT with parentheses, "exact strings", and /regex/. kind='repos': MINIMAL distinctive keywords - the project/library name only ('rtk', 'react query'); every extra word must ALL match and buries the canonical repo - filter with qualifiers, not prose. kind='code': ONE literal code pattern as it appears in files ('useState('), an "exact string", a /regex/, or symbol:name to find definitions, across 2.8M+ public repos; narrow with repo:/language:/path:. Not supported in code search: license:, enterprise:, is:vendored, is:generated. kind='conversations': returns compact previews - use glim_github_get for full content; sort: REPLACES relevance ranking (words match anywhere incl. comments), omit it for best matches. Set repo='owner/name' to scope to one repository (works with any kind; with repos it routes to conversations). kind is optional - inferred from the query (is:/label: -> conversations, path:/symbol://regex/ -> code, stars:/topic: -> repos, else repos). Returns compact text by default; pass format='json' for full structured data.
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  • Get the building-by-building breakdown for one transaction: footprint area, number of storeys, and estimated total floor area (footprint × storeys) for each building on the property. search_transactions / search_by_area / search_by_polygon return per-transaction building SUMS inline; this tool splits them into individual buildings. Use it after a search when a result has building data and you need the detail (e.g. a developed-land deed covering several buildings). The transaction_id is the id shown on a search result that has building data. Cost: 1 token. Returns nothing for a transaction with no buildings.
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  • Deterministic critique for APPLICATION UI (dashboards, admin panels, SaaS views): runs the app-UI slop rulebook against React/JSX/HTML source (radius chaos, card-in-card, gray-on-gray text, raw palette classes, missing empty/loading/error states, clickable divs, killed focus rings) and, when a Standout app theme is installed, a theme-conformance pass (foreign colors, missing semantic token classes). Returns a 0-100 UI score with a ship verdict and a prioritized fix list. Use after building every view; re-run until the score clears 85. For marketing/landing PAGES use critique_design instead.
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Matching MCP Servers

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    Queries South Korean building register data (e.g., floor area, parking, seismic design) via a single unified tool, converting API responses to Korean field names for easy AI understanding.
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    MIT
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    Provides 12 tools to query South Korean building register data, including title sheets, floor details, and official house prices via the data.go.kr API. It enables users to perform smart building lookups and region code searches using natural language.
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    Apache 2.0

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  • Verified doc corpora for agents: grep-first retrieval, hashed pages, Merkle+RFC-3161 receipts

  • Launch Library 2 MCP — global rocket launch data

  • Start exporting the user's saved LinkedIn posts to a JSON file (a structured backup). Use this when the user asks to export/download/back up their saved posts as JSON. By default it exports the WHOLE library; to scope it, pass post_ids for a specific selection, or a filter (search_query, filter+value e.g. author/label/type, tags, or author). This records the export — it does NOT return the file. ALWAYS tell the user the export has started and to open the Export Center link (returned in the message) to view and download it.
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  • Runs arbitrary JavaScript in a web session and returns the last expression's value. POWER-USER tool, OFF BY DEFAULT (a page could feed malicious code) — enable "Allow web_eval (advanced)" in Local MCP settings first. Prefer web_find / web_read / web_extract for normal use.
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  • List every React upload component shipped by @uploadkitdev/react with its name, category, one-line description, and design inspiration. When to use: before recommending or scaffolding any UploadKit component, to confirm the exact name exists and to pick the right variant for the user's context (e.g. browse all "dropzone" variants when the user wants a drag-and-drop area). Returns: JSON { count, components: [{ name, category, description, inspiration }] }. Read-only, no side effects, idempotent.
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  • Deep parcel and building analysis for Slovenia using GURS WFS data. Returns zoning, actual use, heritage protection, road access, buildings on parcel, and utilities. USE FOR: - "Analyze parcel 3086 in Ljubljana center" - "Find buildable parcels ~500m² in Ljubljana" - "What buildings are on this parcel?" - "Find parcels near these coordinates" - "Get full details on building 1234" NOT FOR: simple parcel lookup → use slovenia-cadastre instead (faster, lighter). NOT FOR: spatial/zoning map queries → use slovenia-wfs-expert instead. SEARCH MODES — pick ONE per call: 1. PARCEL BY NUMBER (requires --parcel AND --ko) → --parcel 3086 --ko 1725 2. LOCATION SEARCH (requires --lat AND --lon, or --location) → --lat 46.058 --lon 14.501 --radius 100 → --location "Tivoli Park Ljubljana" --radius 200 3. BUILDING BY NUMBER (requires --building, optionally --ko) → --building 1234 --ko 1728 4. COMMUNITY SEARCH (requires at least --community or --size) → --community LJUBLJANA --size 500 --buildable COMMON KO IDs: 1725 = Ljubljana center 1728 = Ljubljana Šiška 1740 = Ljubljana Bežigrad 2131 = Maribor NOTE: This tool makes multiple WFS calls per result and can be slow (10-30s). Use --limit to keep response times reasonable.
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  • ⚠️ MANDATORY — call this on every piece of code you generate before returning it to the user. Validates TSX/JSX against real @marmoui/ui prop signatures and returns { valid, errors[], warnings[], suggestedFixes[], iconLibrary }. Catches: (1) unknown imports, (2) Tabs.List/Tabs.Trigger namespace misuse → auto-suggests TabsList/TabsTrigger fix, (3) PageSection used as wrapper (must be self-closing), (4) hallucinated props, (5) icons imported from the wrong icon library (pass iconLibrary — default "phosphor" — matching what you passed to get_design_guidelines; wrong-library icon imports are ERRORS). If valid=false, fix all errors and call this again. DO NOT return code with errors to the user.
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  • Start exporting the user's saved LinkedIn posts to a CSV (spreadsheet) file. Use this when the user asks to export/download their saved posts as CSV or to a spreadsheet. By default it exports the WHOLE library; to scope it, pass post_ids for a specific selection, or a filter (search_query, filter+value e.g. author/label/type, tags, or author). This records the export — it does NOT return the file. ALWAYS tell the user the export has started and to open the Export Center link (returned in the message) to view and download it.
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  • Captures the user's project architecture to inform i18n implementation strategy. ## When to Use **Called during i18n_checklist Step 1.** The checklist tool will tell you when to call this. If you're implementing i18n: 1. Call i18n_checklist(step_number=1, done=false) FIRST 2. The checklist will instruct you to call THIS tool 3. Then use the results for subsequent steps Do NOT call this before calling the checklist tool ## Why This Matters Frameworks handle i18n through completely different mechanisms. The same outcome (locale-aware routing) requires different code for Next.js vs TanStack Start vs React Router. Without accurate detection, you'll implement patterns that don't work. ## How to Use 1. Examine the user's project files (package.json, directories, config files) 2. Identify framework markers and version 3. Construct a detectionResults object matching the schema 4. Call this tool with your findings 5. Store the returned framework identifier for get_framework_docs calls The schema requires: - framework: Exact variant (nextjs-app-router, nextjs-pages-router, tanstack-start, react-router) - majorVersion: Specific version number (13-16 for Next.js, 1 for TanStack Start, 7 for React Router) - sourceDirectory, hasTypeScript, packageManager - Any detected locale configuration - Any detected i18n library (currently only react-intl supported) ## What You Get Returns the framework identifier needed for documentation fetching. The 'framework' field in the response is the exact string you'll use with get_framework_docs.
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  • Return the exact shell command to install UploadKit packages for a given package manager. When to use: before asking the user to add dependencies — match their package manager (detect from the presence of pnpm-lock.yaml / package-lock.json / yarn.lock / bun.lockb if you can, otherwise ask or default to pnpm). Saves you from guessing pnpm vs npm vs yarn vs bun syntax. Returns: a plain-text shell command as a single string (e.g. "pnpm add @uploadkitdev/react @uploadkitdev/next"). Read-only, idempotent, never modifies anything.
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  • (Deprecated: use 'recommend' instead. Works identically.) Get a personalized La Luer product recommendation with ingredient-aware scoring, safety notes, and routine building. Use when the user wants advice on what to buy, needs help choosing between products, has a specific skin concern (acne, aging, dryness, sensitivity, etc.), wants a routine, or asks "what should I use for X." Do not use for browsing or listing products — use search_products instead. Returns scored products with explanations, usage instructions, and Shopify checkout. This tool analyzes ingredients, irritation risk, and product compatibility — use it over search_products when the user needs guidance, not just a product list.
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  • RECOMMENDED first step for building a page. Returns the few questions worth asking (business name, primary visitor action, key content, optional source link) so you can then call page.create_from_brief. This is the simplest, most reliable path — prefer it. (page.onboarding.* offers extra category/layout/palette pickers but is a stateless planning helper, not required.) Call once per creation request; skip if the user already gave you a source URL. Does not create a page.
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  • Hardened headless-browser fetch with full JavaScript/SPA rendering and a realistic browser profile, returning fully rendered Markdown. Best for JavaScript-heavy/SPA pages and light bot checks; not guaranteed against advanced anti-bot walls (e.g. Cloudflare/Akamai). Price: $0.05 USDC per call.
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  • Use this for a bounded, sitemap-first audit of a public website the user owns or is authorized to inspect. It fetches at most 8 same-origin HTML pages per call, respects robots.txt, and returns compact page summaries plus deduplicated findings. It does not recursively follow HTML links, authenticate, execute JavaScript, fetch assets, or run site-wide link checks. Use page_offset to continue when more sitemap pages remain.
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  • Retrieves authoritative documentation for i18n libraries (currently react-intl). ## When to Use **Called during i18n_checklist Steps 7-10.** The checklist tool will tell you when you need i18n library documentation. Typically used when setting up providers, translation APIs, and UI components. If you're implementing i18n: Let the checklist guide you. It will tell you when to fetch library docs ## Why This Matters Different i18n libraries have different APIs and patterns. Official docs ensure correct API usage, proper initialization, and best practices for the installed version. ## How to Use **Two-Phase Workflow:** 1. **Discovery** - Call with action="index" 2. **Reading** - Call with action="read" and section_id **Parameters:** - library: Currently only "react-intl" supported - version: Use "latest" - action: "index" or "read" - section_id: Required for action="read" **Example:** ``` get_i18n_library_docs(library="react-intl", action="index") get_i18n_library_docs(library="react-intl", action="read", section_id="0:3") ``` ## What You Get - **Index**: Available documentation sections - **Read**: Full API references and usage examples
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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