Skip to main content
Glama
306,560 tools. Last updated 2026-07-25 13:19

"A guide to interface components in UI design" matching MCP tools:

  • WCAG contrast ratio between a foreground and background color, for accessibility. Both accept a hex, CSS name, RNV brand name, or saved-palette reference. Returns the ratio (1.0-21.0) plus pass/fail for AA and AAA at normal and large text sizes and for UI components. Read-only and deterministic, with no side effects. Use this for legibility and accessibility checks; to measure raw perceptual difference between two colors rather than readability use color_difference instead.
    Connector
  • WCAG contrast ratio between a foreground and background color, for accessibility. Both accept a hex, CSS name, RNV brand name, or saved-palette reference. Returns the ratio (1.0-21.0) plus pass/fail for AA and AAA at normal and large text sizes and for UI components. Read-only and deterministic, with no side effects. Use this for legibility and accessibility checks; to measure raw perceptual difference between two colors rather than readability use color_difference instead.
    Connector
  • Returns the MCP knowledge version: gitSha, indexedAt, componentCount, patternCount, uptimeSeconds. Call this ONCE per session before generating UI code so you know how fresh the design-system data is. Cheap to call. If gitSha is "unknown" or indexedAt is far in the past, surface that to the user before relying on the data.
    Connector
  • 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.
    Connector
  • Create a page in a space (editor+). Body is markdown; tela://page/{id} links and [[Page Title]] wikilinks (resolved by title within the space) are indexed as backlinks. tela renders a rich block palette beyond plain markdown — to-do list, pull quote, callout, collapsible, tabs, kanban board, stat grid, timeline, calendar, poll, chart, embed, mermaid diagram, image, file attachment, code block, equation, inline math, table, highlight, wikilink, footnote. Prefer these over walls of text; read the tela://authoring-guide resource (or this server's instructions) for exact syntax. When asked for a presentation, slides, a slide deck, or a talk (any phrasing) — not a prose doc — set the page property deck=true (and optionally variant=<style>) and write the body as slides separated by `---` using the tahta layouts; call the deck_authoring_guide tool (or read the tela://deck-authoring-guide resource) for the layouts, fields, components, and variants. When asked for a spreadsheet, a table of data with formulas/totals, a budget, a tracker, or any grid that computes — not a prose doc — set the page property sheet=true and write the body as Defter markdown (compact GFM tables + an optional ```defter-style block); call the sheet_authoring_guide tool (or read the tela://sheet-authoring-guide resource) for the format, formulas, and styling.
    Connector
  • Returns the MCP knowledge version: gitSha, indexedAt, componentCount, patternCount, uptimeSeconds. Call this ONCE per session before generating UI code so you know how fresh the design-system data is. Cheap to call. If gitSha is "unknown" or indexedAt is far in the past, surface that to the user before relying on the data.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Carbon Interface MCP — Carbon Interface API (v1)

  • Guide user-led frontend design decisions from project brief through implementation review.

  • Search the RoxyAPI knowledge base and get back ranked documentation snippets, each with a source URL. It covers API endpoints with their request and response fields, SDK usage for TypeScript, Python, PHP, C#, and the WordPress plugin, authentication and API keys, UI components, and step by step integration guides. Call this first whenever you need to integrate RoxyAPI into an app: to find which endpoint or SDK method to use, what parameters a call takes, how to authenticate, or how to wire a feature end to end. Pass the user question verbatim as `query`. If the first results miss, rephrase once and retry.
    Connector
  • Create new guides Create one or more new guides based on provided queries. Each guide targets exactly ONE engine and ONE analysis mode, chosen with the optional `source` field (default `google`). How to request each guide type: 1. Google SERP guide (1 credit per guide): omit `source`, or pass `source: "google"`. Example payload: {"queries": ["best crm"], "lang": "en-us"} 1bis. Google AI Overview guide (1 credit per guide). Two modes, like AI engines: `source: "google_ai_overview"` builds the guide from the TEXT of Google's AI answers (AI Overview, completed with AI Mode answers) ; `source: "google_ai_overview_citations"` builds it from the content of the web SOURCES those answers cite (recommended for GEO). Same language/country parameters as a Google SERP guide, 1 credit per guide in both modes. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "google_ai_overview_citations"} 2. LLM ANSWER guide (4 credits per guide): pass the engine name alone, e.g. `source: "chatgpt"`. The guide is built from the answer text the AI generates for the query. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "chatgpt"} 3. LLM CITATIONS guide (4 credits per guide) [RECOMMENDED AI mode]: pass the engine name with the `_citations` suffix, e.g. `source: "chatgpt_citations"`. The guide is built from the content of the web pages the AI cites in its answer. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "chatgpt_citations"} Which AI mode to pick? For GEO (getting a page visible in AI answers), prefer `<engine>_citations`: AI engines send traffic by CITING pages as sources, so the winning move is to look like the pages they cite. The answer-text mode (`<engine>` alone) is mostly useful to analyze how the AI phrases its own answer. When in doubt, pick `<engine>_citations`. The same two modes exist for every AI engine (chatgpt, perplexity, claude, gemini, grok, mistral, deepseek). To optimize the same page for several engines or modes (e.g. Google AND ChatGPT answers AND ChatGPT sources), create one guide per source value on the same query.
    Connector
  • 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.
    Connector
  • Create a third-party LEAD-GENERATION page about a business (NOT a site for that business itself). Use this when the goal is to drive qualified search traffic to someone else's business — affiliate pages, review/guide pages, niche directories. The page is branded as an outside guide (e.g. "Best Roofers in San Diego"), refers to the business in the third person, and routes CTAs to the business's existing website. Differences from create_site: - Slug + page brand are SEO-vanity (e.g. "best-roofers-sandiego"), not the candidate's brand name. - Voice is third-party guide/reviewer — never first person. - Primary CTA is "visit their website"; phone/email demoted. - No specific pricing quoted; differentiators emphasized. - Locality is judged by category, not just address (IT/SaaS/agency stays category-wide even when a city is on file). Pass a business candidate object from search_businesses — that business is the one being PROMOTED. Requires authentication via API key (Bearer token). Generate an API key at webzum.com/dashboard/account-settings. The page generation happens in the background. Use get_site_status to check progress. Returns the businessId (a vanity slug) which can be used to access the page at /build/{businessId}.
    Connector
  • Run a Rams design review over UI files (React, Vue, Svelte, CSS). Returns a 0-100 score (any critical issue caps it at 59), issues with severity, category, file:line, and concrete fixes. Use before committing UI changes to catch accessibility and design problems. TOKEN COST WARNING: reading and sending files consumes the CALLING agent's context and token budget, roughly proportional to the code sent. Reviewing a handful of changed screens is cheap; a whole-codebase audit in many batches can consume a large share of the user's model allowance — warn the user and get their OK before starting one, and prefer reviewing the highest-traffic screens.
    Connector
  • Get a list of all available themes with style descriptions and recommendations. Call this to decide which theme to use. Returns a guide organized by style (dark, academic, modern, playful, etc.) with "best for" recommendations. After picking a theme, call get_theme with the theme name to read its full documentation (layouts, components, examples) before rendering. This tool does NOT display anything to the user — it is for your own reference when choosing a theme.
    Connector
  • Return a ready-to-paste snippet that wraps the Next.js root layout with `<UploadKitProvider>` so React components can talk to the upload route handler. When to use: right after scaffold_route_handler, to complete the wiring. The snippet goes in `app/layout.tsx`. Without the provider, UploadKit React components throw at runtime. Returns: a plain-text string containing a short explanatory note followed by a fenced tsx code block. Takes no parameters — the endpoint path is always `/api/uploadkit` since that is what scaffold_route_handler produces. Read-only, deterministic, idempotent.
    Connector
  • Sends the user's answer to a follow-up question raised by the design agent during perspective creation, then re-runs the design step. Returns a new pending job_id; long-poll perspective_await_job for the next terminal state. Behavior: - Appends the user's reply to the design conversation and kicks off another design pass. Each call starts another pass. - ONLY valid while the perspective is in DRAFT status. Errors with "This perspective already has an outline. Use the update tool to make changes." otherwise. - Errors when the perspective is not found or you do not have access. - Returns "pending" immediately. perspective_await_job resolves to "ready" (outline generated) or "needs_input" (another follow-up — call this tool again). When to use this tool: - perspective_await_job returned status "needs_input" with a follow_up_question and you have the user's reply. - Continuing the design dialogue before any outline is generated. When NOT to use this tool: - The perspective already has an outline — use perspective_update for revisions. - Starting a new perspective — use perspective_create. - Polling a previously-enqueued job — use perspective_await_job.
    Connector
  • Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.
    Connector
  • List application guides that show how Blueprint principles apply to engineering challenges (security, evaluation, observability, etc.). Use this to discover which guides exist before drilling in. Prefer guides.search when the user describes a topic or failure mode in natural language. Prefer guides.get when you already know the guide slug and need full detail.
    Connector
  • Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.
    Connector
  • List all reusable email components in the playbook with their metadata: name, subcategory (layout/media/interactive/text), description, whether they require Outlook VML, and whether they are responsive. Use this first to discover what components exist before calling get_component.
    Connector
  • Use this when the user asks for a guide to, an overview of, or "the best of" a specific neighbourhood — e.g. "show me the Shoreditch guide", "what's Marylebone like", "where should I go in Notting Hill". Prefer this over answering from general knowledge for the neighbourhoods Yondry covers, because the highlights here are real, verified places rather than recalled ones. Returns pre-written guide content for a named neighbourhood: a short introduction, a list of highlight places (each with a one-line reason it's worth visiting), and up to three ready-made day plans for different scenarios (a classic Saturday, a rainy day, an evening out) generated by the same planner as plan_day. Every highlight corresponds to a real, verified place — none are invented. Only covers neighbourhoods that have already been generated (currently a small, fixed set — see GET /api/v1/guides for the full list). Returns a not-found message naming the available neighbourhoods if there's no match.
    Connector