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700,217 tools. Updated 2026-10-24 23:49

"User interfaces (UI) or UI design resources" matching MCP tools:

  • Full Rams design review of UI code (React, Vue, Svelte, HTML, CSS, SwiftUI). Returns a 0-100 score (criticals cap it: one caps at 59, two at 49, three or more at 39), issues with severity, category, file:line, and concrete fixes as patches. Call it once at the end: before a commit, or when the user wants a score or a final check. Pass each file with its real path, or for pasted code a path that fits it (pasted/Card.tsx). Each call uses one review credit. Reviewing a few files needs no permission. Ask the user before a whole-codebase audit (dozens of files), since it spends their allowance. For quick feedback while you work, use quick_review.
    ConnectorNo auth
  • Full Rams design review of UI code (React, Vue, Svelte, HTML, CSS, SwiftUI). Returns a 0-100 score (criticals cap it: one caps at 59, two at 49, three or more at 39), issues with severity, category, file:line, and concrete fixes as patches. Call it once at the end: before a commit, or when the user wants a score or a final check. Pass each file with its real path, or for pasted code a path that fits it (pasted/Card.tsx). Each call uses one review credit. Reviewing a few files needs no permission. Ask the user before a whole-codebase audit (dozens of files), since it spends their allowance. For quick feedback while you work, use quick_review.
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  • Get the Designesy SKILL.md: the agent-skill-format export of the design-system contract, for a user to save into .agents/skills/ or a system prompt so a coding agent builds UI to the contract (tokens, anti-patterns, rules, verification). Use this when the user wants the contract in that form. When NOT to use: for the raw contract JSON, use designesy_contract; for scoring, use designesy_score. Read-only: no side effects. Returns JSON: { kind: "published_document", source_url, media_type: "text/markdown", note, omitted_sections[], content }, where content is the SKILL.md markdown (tens of thousands of characters) with any section written as steps or a prompt for an AI agent replaced by a one-line marker and named in omitted_sections. No parameters.
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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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  • Gets the status and result of a design generation job started by create-design. Pass the job_id and continuation_token from the previous create-design or get-async-job response. While the job is still running, wait the number of seconds the response's polling_policy.wait_seconds gives, then poll again with the same job_id and the updated continuation_token. Never poll sooner than that: it returns the same answer and the design arrives no earlier. Follow the polling_policy.instructions in every response, and relay them to the user while they wait. When the job completes, share the design link with them. When the completed response carries design.print.is_printable as true, and you are replying in text alone — no UI surface of your own rendering the design — then alongside the design link tell the user they can also order this design as a physical print with Canva Print and share design.print.print_url. Otherwise say nothing about printing: when print is absent or is_printable is false, there is nothing to do and nothing to relay. Never tell the user a design cannot be printed.
    ConnectorOAuth
  • Gets the status and result of a design generation job started by create-design. Pass the job_id and continuation_token from the previous create-design or get-async-job response. While the job is still running, wait the number of seconds the response's polling_policy.wait_seconds gives, then poll again with the same job_id and the updated continuation_token. Never poll sooner than that: it returns the same answer and the design arrives no earlier. Follow the polling_policy.instructions in every response, and relay them to the user while they wait. When the job completes, share the design link with them. When the completed response carries design.print.is_printable as true, and you are replying in text alone — no UI surface of your own rendering the design — then alongside the design link tell the user they can also order this design as a physical print with Canva Print and share design.print.print_url. Otherwise say nothing about printing: when print is absent or is_printable is false, there is nothing to do and nothing to relay. Never tell the user a design cannot be printed.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Search, inspect and install the 21 free MIT components of Marvelous UI (framework-agnostic Web Components and CSS) and their design tokens into a project. Runs locally over stdio with no network calls.
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Provides comprehensive UI design assistance tools for LLMs, generating color palettes, typography, spacing systems, shadows, design tokens, and more via the MCP protocol.
    28
    MIT

Matching MCP Connectors

  • Mlola UI components, tokens and design rules for coding agents, with a markup checker

  • 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.

  • Get the Sigistry MCP App safety criteria to audit an MCP App (MCP Apps / SEP-1865: a tool that returns an interactive ui:// HTML resource the host renders in a sandboxed iframe) BEFORE shipping it. Returns two groups of checks: spec conformance (ui:// scheme, the text/html;profile=mcp-app mimeType, tool-to-UI linkage via _meta.ui.resourceUri, a text fallback, visibility values, and CSP coverage of external origins) and security hygiene the iframe sandbox does not cover (unsafe DOM sinks, embedded secrets, host-message origin handling, remote scripts). Call this when the user is building or reviewing an MCP App; then apply each check to the app source you have in context and report findings. Nothing is sent to this server; an interactive browser version is at https://sigistry.com/mcp-app-checker.
    ConnectorNo auth
  • Get the Sigistry MCP App safety criteria to audit an MCP App (MCP Apps / SEP-1865: a tool that returns an interactive ui:// HTML resource the host renders in a sandboxed iframe) BEFORE shipping it. Returns two groups of checks: spec conformance (ui:// scheme, the text/html;profile=mcp-app mimeType, tool-to-UI linkage via _meta.ui.resourceUri, a text fallback, visibility values, and CSP coverage of external origins) and security hygiene the iframe sandbox does not cover (unsafe DOM sinks, embedded secrets, host-message origin handling, remote scripts). Call this when the user is building or reviewing an MCP App; then apply each check to the app source you have in context and report findings. Nothing is sent to this server; an interactive browser version is at https://sigistry.com/mcp-app-checker.
    ConnectorNo auth
  • Retry a failed deployment using a server_token (from the failure email, the deploy-progress UI, or the dashboard). Wipes the previous broken install and runs a fresh deploy on the SAME server. Returns a new session_id — poll with check_status. Use this when the user reports a failed deploy or pastes a server_token.
    Connector
    Destructive
    No auth
  • Retry a failed deployment using a server_token (from the failure email, the deploy-progress UI, or the dashboard). Wipes the previous broken install and runs a fresh deploy on the SAME server. Returns a new session_id — poll with check_status. Use this when the user reports a failed deploy or pastes a server_token.
    Connector
    Destructive
    No auth
  • Return a canonical Clipkit doc as text. topic "card" = the ~8KB compact authoring card — the recommended context for authoring; "pattern-lighting" = the shine/neon/glow technique rigs; "pattern-data-viz" / "pattern-cinematic-ui" / "pattern-ui-screencast" / "pattern-promo-teaser" = ~4-5KB pattern cards (proven idioms: count-ups and bar rows; product hero shots with camera rigs; faked app UI with typing/cursor/clicks) — load ONE alongside the card when the brief matches its archetype; "agents" = the full authoring guide (fetch only when the card doesn't cover a need); "protocol" = the formal field spec; "brand" = brand reference. (Same docs offered as MCP resources, exposed as a tool so you can read them directly — resources are not always model-readable.)
    ConnectorNo auth
  • List available tags for the user's company. Use this to resolve user-provided tag names like 'summer26' before selecting garments, outfits, models, files, generations, or locations. For no-UI MCP flows, find the tag ID here, then call get_items_by_tag or the relevant list_* tool with tag_ids.
    ConnectorNo auth
  • UI/UX guidelines and a review of a page against them. mode="guidelines" returns the principles — Nielsen's 10 heuristics, Hick's and Fitts's laws, WCAG 2.2, neurodiversity-inclusive design, motion and microinteractions (including when Lottie or Rive are worth their bundle cost), SVG craft and animation, light-first theming, lightness and responsiveness — optionally filtered by topic. Read them BEFORE designing or building UI. mode="review" statically reviews supplied HTML and CSS, or a URL, and reports what violates which principle. The review reads source and does not render it, so it cannot measure computed contrast, real target sizes, or where focus lands — it catches what is visible in the markup, which is most of what actually goes wrong.
    ConnectorNo auth
  • Lists every UI component in the project's design system, each with its name, source package, import path, and a short note on its intended use. Read-only and unpaginated: it returns the whole catalog across all packages assigned to the project, so expect a large response on big design systems. Use it to see what exists before building UI, and to get the exact component name other tools need. Do not use it to find a component by need - search_components ranks by description - and do not use it for props, examples, or Figma data, which only get_component returns. project_id is not a display filter: it selects the assigned packages, so two projects in one organization legitimately return different catalogs.
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  • Validates a Polyxd UI document and shows it to the user as an interactive screen, drawn by the Polyxd renderer in the design-system pack you choose (default material3). Shows nothing if the document has errors; fix them first with polyxd_validate. When the user presses an action in the screen, you receive a chat message from the user naming the action and its context; that only tells you their choice, and nothing has been submitted or paid. Packs: material3, antd, bootstrap, carbon, chakra, fluent, govuk, mantine, polaris, primer, radix, shadcn, spectrum, brutalist, civic, editorial, finance, glass, health, mono, neon, pastel, sketch, terminal, wireframe.
    ConnectorNo auth
  • List all player profiles (GET /profile). 'Profiles' are player UI configs, not user accounts. Returns {data: [{id, name, pullzone_name}]} — a profile's `name` is the ID of the video it was created for. Use panda_get_profile for a profile's full settings. No pagination.
    ConnectorNo auth
  • Structured diff showing what would be deployed if the user ran tfdeploy now. Returns component-level changes (added/removed/modified), field-level details, and pricing deltas. Defaults (#1392): with no version arguments, compares the LAST SUCCESSFULLY DEPLOYED version against the user's CURRENT LIVE DESIGN (the same data the UI shows). Empty baseline if nothing has been deployed or after a destroy. Pending drafts are NOT used as the target — they go stale once the user edits past them; live IR via chat history is always current. Pass explicit `from_version` and/or `to_version` integers to compare any two saved versions (e.g. v3 → v5). REQUIRES: session_id from convoopen response (format: sess_v2_...).
    ConnectorNo auth
  • Structured diff showing what would be deployed if the user ran tfdeploy now. Returns component-level changes (added/removed/modified), field-level details, and pricing deltas. Defaults (#1392): with no version arguments, compares the LAST SUCCESSFULLY DEPLOYED version against the user's CURRENT LIVE DESIGN (the same data the UI shows). Empty baseline if nothing has been deployed or after a destroy. Pending drafts are NOT used as the target — they go stale once the user edits past them; live IR via chat history is always current. Pass explicit `from_version` and/or `to_version` integers to compare any two saved versions (e.g. v3 → v5). REQUIRES: session_id from convoopen response (format: sess_v2_...).
    ConnectorNo auth
  • Lista os MCP Resources disponíveis com URI, nome e mime-type. Tools de descoberta para clientes que não expõem UI de attachment de resources (como o Claude.ai web). Em Claude Desktop / Cursor / MCP Inspector, resources aparecem em picker dedicado. Resources contêm dados de referência estáticos (tabelas de domínio, glossário, metadados do servidor). Use `compras_obter_resource(uri)` para ler o conteúdo. Retorno: { "total": int, "resources": [ {"uri": str, "nome": str, "descricao": str, "mime_type": str, "tags": [str,...]}, ... ] }
    ConnectorNo auth
  • Generate a new Canva design from a written brief, with any supplied content folded in. Use to turn a brief, presentation outline, or draft copy into a presentation, doc, sheet, website, poster, flyer, social post, resume, or another text-and-image layout; or to make a first design for a new project. Do not use this tool for an on-brand request: it cannot apply a brand kit or base a design on a brand template. When the user asks for their brand kit, their brand colours, fonts or logo, or a brand template to base the design on, use the legacy generation tools instead — prepare-design-generation where it is listed, otherwise generate-design or generate-design-structured. Use this tool only when the requested output itself is an editable Canva page or layout, such as "create an infographic". Do not use it when the user explicitly asks for an image, picture, photo, illustration, artwork, sticker, icon, graphic, or 2d vector; use generate-image instead. Explicit image wording takes priority over design-like content within the image, including text, statistics, labels, callouts, or an infographic-like composition. For example, "create an image about coffee with bold stat callouts" uses generate-image, as does "create an image of an infographic". Do not choose this tool merely because the request uses the words "create" or "design". Creates a newly generated design rather than editing one that already exists. Not for videos or whiteboards. Returns a job_id and continuation_token for the generation job. When this tool's UI widget is shown, the widget polls get-create-design-async-job itself and displays the design when ready - do not poll it yourself. Only when no widget is shown, poll get-create-design-async-job with both, waiting the number of seconds each response's polling_policy.wait_seconds gives before the next call, until the job completes, then share the design link with the user.
    ConnectorOAuth
  • Generate a new Canva design from a written brief, with any supplied content folded in. Use to turn a brief, presentation outline, or draft copy into a presentation, doc, sheet, website, poster, flyer, social post, resume, or another text-and-image layout; or to make a first design for a new project. Do not use this tool for an on-brand request: it cannot apply a brand kit or base a design on a brand template. When the user asks for their brand kit, their brand colours, fonts or logo, or a brand template to base the design on, use the legacy generation tools instead — prepare-design-generation where it is listed, otherwise generate-design or generate-design-structured. Use this tool only when the requested output itself is an editable Canva page or layout, such as "create an infographic". Do not use it when the user explicitly asks for an image, picture, photo, illustration, artwork, sticker, icon, graphic, or 2d vector; use generate-image instead. Explicit image wording takes priority over design-like content within the image, including text, statistics, labels, callouts, or an infographic-like composition. For example, "create an image about coffee with bold stat callouts" uses generate-image, as does "create an image of an infographic". Do not choose this tool merely because the request uses the words "create" or "design". Creates a newly generated design rather than editing one that already exists. Not for videos or whiteboards. Returns a job_id and continuation_token for the generation job. When this tool's UI widget is shown, the widget polls get-create-design-async-job itself and displays the design when ready - do not poll it yourself. Only when no widget is shown, poll get-create-design-async-job with both, waiting the number of seconds each response's polling_policy.wait_seconds gives before the next call, until the job completes, then share the design link with the user.
    ConnectorOAuth