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749,796 tools. Updated 2026-11-06 04:45

"Resources and Assistance for Website Design, Frontend UX Flow, and Backend Design" matching MCP tools:

  • WRITE ACTION — redesign a website project's UI to match a design image. Website projects only. The user provides an image (screenshot, mockup, AI-generated design) and instructions. You generate the image (e.g. DALL-E), encode it as base64, and send it here. DreamAgent's AI will read the image and redesign the project's frontend to match. CONFIRM BEFORE CALLING — show the user: 1. The project being redesigned 2. The design instructions Then call only with confirm=true after they agree.
    ConnectorNo auth
  • WRITE ACTION — redesign a website project's UI to match a design image. Website projects only. The user provides an image (screenshot, mockup, AI-generated design) and instructions. You generate the image (e.g. DALL-E), encode it as base64, and send it here. DreamAgent's AI will read the image and redesign the project's frontend to match. CONFIRM BEFORE CALLING — show the user: 1. The project being redesigned 2. The design instructions Then call only with confirm=true after they agree.
    ConnectorNo auth
  • Evaluate a design description against UX principles. Returns relevant principles, potential violations, and improvement suggestions. Screenshot pixel-diff is disabled on the hosted (remote) endpoint (unbounded image decode). Omit 'before_screenshot'/'after_screenshot' and pass a 'description' to evaluate the design against UX principles statelessly.
    ConnectorNo auth
  • Search live UX, product-design, UX-research, content-design and design-leadership roles on jobs.uxjobs.io. Filter by keywords, location/country, remote, seniority, discipline, company, posted salary and recency. Returns a page of compact results (newest first, keyword relevance when a query is given) plus the total match count.
    ConnectorNo auth
  • Keyword search over live UX & product-design job listings on jobs.uxjobs.io. Returns up to 20 results with id, title and URL; pass an id to fetch for the full listing. Natural-language queries work: "remote senior product designer fintech", "UX researcher London".
    ConnectorNo auth
  • Audit a public website for repeated design-token inconsistencies using your scan allowance. This examines the website; it does not compare a Figma design.
    ConnectorOAuth

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

  • A design harness for AI coding agents: design systems, design principles, icons and UI review.

  • Rank companies by number of open UX/product-design roles on jobs.uxjobs.io, optionally within a filter (country, remote, seniority, keywords, recency). Useful for "who is hiring the most designers in Berlin" or "which companies opened design roles this week".
    ConnectorNo auth
  • Download the Game Dev skill pack ZIP: game design, game feel/UX, level design, game programming, XR design and game audio skills with example prompts, quick-start guide and licence. Price: 39000000 atomic USDC. Payment authorization required before paid execution.
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  • Ask the Ergora Design and UX specialist (product design, usability, brand, design systems). Returns summarised, cited insights from a curated knowledge base of practitioners, books and research.
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  • Resolve the standalone droplinked brand attestation for a single shop slug. Returns `{ brandSlug, verified, since, signer, chain, attestationUid, revokedAt }`. Use this AFTER `find_inventory` to round-trip an `attestationUid` and render the canonical trust row to the buyer before proceeding to checkout. Gracefully degrades to `verified=false` on backend error / missing brand — the response shape is stable so the agent can always cite trust state. Per the droplinked council, the agent IS the verification UX for Stream B.
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  • Classify a single transaction against the attribution engine: which frontend or router originated the trade and by which evidence, the pools it touched, any fee recipients, and whether it was sandwiched. Confidence is per-vector and is reported per result -- a calldata suffix is strong evidence a specific frontend tagged the swap, while a fee recipient is indirect evidence and is never rated high. Pass that qualification through instead of stating the frontend flatly. `estimated_volume_usd` (only with price=true) is a best-effort spot price on the dominant leg. It is an approximation for orientation and must never be quoted as a settlement figure. Fee amounts are exact raw token integers with no decimals or pricing applied. deep=true costs more upstream credits; leave it off unless a shallow classification came back unattributed.
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  • Get current usage against the plan limits, one entry per category (projects, specs, members, …) with the current count, the maximum and whether the category is unlimited. This is the tool that answers 'why can I not create another one'. Use this for usage against plan limits; for the AI credit balance use get_credit_balance. Requires organization context. Read-only: plan, seat and top-up changes are not available through MCP by design — a human does those in the web app.
    ConnectorAPI key
  • List the teams that reach the active project and with which role. The other direction of list_team_projects — this is the tool for 'who can write here'. Requires project context. Read-only: members, roles, teams and SSO are not changeable through MCP by design — a human does those in the web app.
    ConnectorAPI key
  • Pro/Teams: first-pass surface-craft review of a FRONTEND artefact (component, screen, or flow) against the 8 laws of the Experience Design Blueprint. The surface-craft companion to architect.validate: where architect.validate scores agentic ARCHITECTURE against the 10 agentic principles, design.validate scores the PERCEPTIBLE SURFACE, what the user sees, taps, scans, and remembers (Jakob's familiarity, Hick's choice load, Fitts's targets + the accessibility floor, Miller's working-memory budget, Aesthetic-Usability, Peak-End, Tesler's irreducible complexity, the Mental-Model gap). ON CLIENT TIMEOUT: DO NOT RETRY. Long-running LLM call (~60-180s at high reasoning effort, single-pass). The server mints a run_id, emits it in the FIRST progress event at t=0s (before the LLM call), and persists the run: so on a client timeout, capture that run_id and call me.validation_history(run_id='<that-id>') to fetch the persisted result instead of retrying (a retry re-runs the full 60-180s call). Runs appear in your validation-history dashboard tagged as the 'surface' dimension, distinct from the 'architecture' and 'spec' runs; pass repository to group them per project. Pass private_session=true to skip the stored run (persistence + recovery disabled); operational security + cost logs are still kept. v1 is single-pass: no certification or consensus mode yet (those stay architect.validate-only). Returns surface_classification (ui_surface vs non_ui: non-visual code is marked not_applicable, NOT failed), per-law findings (verdict, severity_score 0-100, severity_class, cited evidence, recommendation), and severity-weighted readiness (score, grade, tier) computed by the SAME scorer architect.validate uses, so all three lenses grade on one rubric. ACCESSIBILITY IS THE FLOOR: a breach of the Fitts's-Law floor (interactive target below the WCAG 2.2 24×24 minimum, missing focus visibility, an unreachable destructive confirmation) is a production_blocker, not polish. WHEN TO CALL: the user wants a craft/UX/accessibility review or a readiness grade on a frontend artefact they just built or changed. WHEN NOT TO CALL: non-visual code (backend, config, type aliases) returns tier=not_applicable, submit the actual UI surface instead. INPUTS: send the FULL artefact source verbatim as implementation_context (no truncation, no '…' placeholders, they are read as literal code). Auth: sign-in required, with an active Pro, Pro Plus, Teams, Enterprise, beta, or trial plan. Data at rest in the UK; OpenAI (US) processing (no-training); prompt-injection text inside the artefact is treated as inert untrusted data. TYPED FAILURES (the top-level error.code; error.details carries retryable + next_action): timed_out, rate_limited, dependency_unavailable, schema_mismatch, provider_billing. The services raise the identical typed envelopes on this lens. CALIBRATION DISCLOSURE: the scoring prompt is a v1 first-cut mirroring the architect's contract structure; its score calibration is not yet tuned against a corpus of real runs the way architect.validate was. Treat the grade as directional craft signal, not a certified verdict. DOCTRINE: the eight laws, each law's evidence, craft-surface application, anti-patterns, and the validator questions this tool scores against, live in the `experience-design-blueprint` skill and docs/business/EXPERIENCE_DESIGN_BLUEPRINT.md (the surface-craft companion to the `architect-validation-orchestration` skill that orchestrates the agentic validators).
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  • The WHOLE design as one readable document — Vision (+ Project DNA) → every System spec → reference notes, compiled deterministically from the current design. Read this to understand a project end-to-end instead of walking list_systems → get_system N times. Returns markdown plus the project `version` it was compiled from. Long designs come back PAGED — the header says 'part N of M', call again with `page: N+1` for the rest. Pass `for_summary: true` to get the condensed projection instead (every system's Goal + Boundary, tables stripped, one page) — that is what you should summarize from.
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  • Returns instructions for migrating to PropelAuth in a frontend framework such as React, JavaScript, TypeScript, or when using Next.js for just the frontend (e.g. client-side rendered). Guidance includes migrating from several auth providers, such as Clerk or Auth0. Each guidance will include documentation from the auth provider and PropelAuth. It is important to follow the instructions carefully to ensure a successful integration. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc. CRITICAL: If the current implementation uses a traditional OAuth/OIDC flow (e.g., via express-openid-connect, passport-auth0, or similar backend-managed session libraries), you MUST select 'OAuth' as the framework, regardless of the frontend library (React/Vue/etc.). Only select 'React' or 'Javascript' if the current implementation uses a frontend-only SDK (like @auth0/auth0-react) or if using fullstack Next.js.
    ConnectorNo auth
  • Pro/Teams: first-pass surface-craft review of a FRONTEND artefact (component, screen, or flow) against the 8 laws of the Experience Design Blueprint. The surface-craft companion to architect.validate: where architect.validate scores agentic ARCHITECTURE against the 10 agentic principles, design.validate scores the PERCEPTIBLE SURFACE, what the user sees, taps, scans, and remembers (Jakob's familiarity, Hick's choice load, Fitts's targets + the accessibility floor, Miller's working-memory budget, Aesthetic-Usability, Peak-End, Tesler's irreducible complexity, the Mental-Model gap). ON CLIENT TIMEOUT: DO NOT RETRY. Long-running LLM call (~60-180s at high reasoning effort, single-pass). The server mints a run_id, emits it in the FIRST progress event at t=0s (before the LLM call), and persists the run: so on a client timeout, capture that run_id and call me.validation_history(run_id='<that-id>') to fetch the persisted result instead of retrying (a retry re-runs the full 60-180s call). Runs appear in your validation-history dashboard tagged as the 'surface' dimension, distinct from the 'architecture' and 'spec' runs; pass repository to group them per project. Pass private_session=true to skip the stored run (persistence + recovery disabled); operational security + cost logs are still kept. v1 is single-pass: no certification or consensus mode yet (those stay architect.validate-only). Returns surface_classification (ui_surface vs non_ui: non-visual code is marked not_applicable, NOT failed), per-law findings (verdict, severity_score 0-100, severity_class, cited evidence, recommendation), and severity-weighted readiness (score, grade, tier) computed by the SAME scorer architect.validate uses, so all three lenses grade on one rubric. ACCESSIBILITY IS THE FLOOR: a breach of the Fitts's-Law floor (interactive target below the WCAG 2.2 24×24 minimum, missing focus visibility, an unreachable destructive confirmation) is a production_blocker, not polish. WHEN TO CALL: the user wants a craft/UX/accessibility review or a readiness grade on a frontend artefact they just built or changed. WHEN NOT TO CALL: non-visual code (backend, config, type aliases) returns tier=not_applicable, submit the actual UI surface instead. INPUTS: send the FULL artefact source verbatim as implementation_context (no truncation, no '…' placeholders, they are read as literal code). Auth: sign-in required, with an active Pro, Pro Plus, Teams, Enterprise, beta, or trial plan. Data at rest in the UK; OpenAI (US) processing (no-training); prompt-injection text inside the artefact is treated as inert untrusted data. TYPED FAILURES (the top-level error.code; error.details carries retryable + next_action): timed_out, rate_limited, dependency_unavailable, schema_mismatch, provider_billing. The services raise the identical typed envelopes on this lens. CALIBRATION DISCLOSURE: the scoring prompt is a v1 first-cut mirroring the architect's contract structure; its score calibration is not yet tuned against a corpus of real runs the way architect.validate was. Treat the grade as directional craft signal, not a certified verdict. DOCTRINE: the eight laws, each law's evidence, craft-surface application, anti-patterns, and the validator questions this tool scores against, live in the `experience-design-blueprint` skill and docs/business/EXPERIENCE_DESIGN_BLUEPRINT.md (the surface-craft companion to the `architect-validation-orchestration` skill that orchestrates the agentic validators).
    ConnectorNo auth
  • Analyze a flow for performance and cost optimization opportunities. Returns rule-based suggestions such as moving upscale nodes to the end of the flow, avoiding resolution overflow, removing redundant processing, and choosing better-performing models. Each suggestion carries a structured patch (move_node, insert_node, replace_model) describing the change. Apply them with edit_flow on the same flow — replace_model maps to its replace_model op, insert_node to add_node plus the connect/disconnect that splice it in. move_node is layout only and needs no edit. Applying a suggestion never requires creating a new flow. update_flow changes node parameters only. Use this before running a flow or while iterating on its design. Set include_llm_analysis=true to also ask Haiku for complex-pattern refinements.
    ConnectorOAuth
  • CANONICAL ENTRY for LLM brand discoverability assessments. Prefer this over start_discoverability_assessment. Async flow: may return needsContactInfo first; then call again with contactEmail. Poll only when user asks, using discoverability_assessment_status, then get_discoverability_assessment. Not for website SEO or reliability.
    ConnectorNo auth
  • Create your agent and receive an api_key. THE KEY IS RETURNED EXACTLY ONCE AND IS NOT RECOVERABLE — copy it out of the response immediately and send it as Authorization: Bearer YOUR_API_KEY on every later call. Registering also places you in the welcome room. If you lose the key, register a new agent_id; there is no recovery, by design.
    ConnectorNo auth