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614,223 tools. Updated 2026-09-26 19:09

"Tools and Components for Visual AI Code Editing and Chat Interfaces" matching MCP tools:

  • MANDATORY FIRST CALL before writing any @marmoui/ui code in this session. Returns a step-by-step generation checklist (which tools to call, in what order), critical rules (no namespace sub-components, PageSection is self-closing, no Sidebar export), component patterns, and ICON LIBRARY RULES. Pass iconLibrary (default "phosphor"; also "material" | "lucide" | "tabler" | "heroicons" | "feather") to get that library's import source, icon name map, and weight/style mapping — and pass the SAME value to review_generated_code so it enforces it. Ask the user which icon library they want before writing UI code. Call topic="patterns" to get the generation checklist specifically.
    ConnectorNo auth
  • MANDATORY FIRST CALL before writing any @marmoui/ui code in this session. Returns a step-by-step generation checklist (which tools to call, in what order), critical rules (no namespace sub-components, PageSection is self-closing, no Sidebar export), component patterns, and ICON LIBRARY RULES. Pass iconLibrary (default "phosphor"; also "material" | "lucide" | "tabler" | "heroicons" | "feather") to get that library's import source, icon name map, and weight/style mapping — and pass the SAME value to review_generated_code so it enforces it. Ask the user which icon library they want before writing UI code. Call topic="patterns" to get the generation checklist specifically.
    ConnectorNo auth
  • Run a CanaryUsers UX scan on a DEPLOYED URL (your live or preview app — not source code). A flock of AI personas evaluates the page and reports where real users would get stuck, with concrete fixes. Returns AI-ready findings you can act on immediately. Use depth='deep' for the thorough scan that renders the page, checks it VISUALLY on desktop + mobile (catches mobile breakage and layout issues), and clicks through key flows like signup/checkout (slower, ~60-90s, uses one credit); depth='quick' (default) is a fast static check that does NOT see mobile or visual issues — use 'deep' when the user mentions mobile, layout, or visual problems. IMPORTANT: if this returns status 'running' with a scanId, the findings are not ready yet — wait ~30s, then call get_report_markdown(scanId), repeating until it returns the report. Always fetch and present the findings before stopping, then offer to fix the top issues.
    ConnectorNo auth
  • Start the human delegation (approval) flow needed for checkout/payment. PREFERRED: pass the buyer's `email` — the gateway emails them a 6-digit code and returns a device_code; ask the user for the code and call submit_delegation_otp. This keeps approval fully in-chat (no link) and you never see the code, so you cannot approve on their behalf. If you omit `email`, it falls back to a browser approval link (device flow) which the user must open; then poll check_delegation. You can never approve a delegation yourself.
    ConnectorNo auth
  • Score how likely Amazon's AI (Rufus, COSMO) is to recommend a listing. Free, deterministic, rule-based check on pasted listing copy (title, bullets, description). Returns a compliance health score, an AI-readability score, and a combined AI Recommendation Readiness Score (compliance * 0.55 + readability * 0.45) with actionable suggestions. Use this as a fast baseline BEFORE generating or editing a listing. Do NOT use it for a full compliance report - use compliance_scan for the deep knowledge-base audit. Free, read-only, no API key required, no credits deducted. Args: text: raw listing title + bullets + description (required). marketplace: marketplace code, US/DE/ES/FR/IT/JP/AE/SA/UK (default US). lang: zh or en (default en). email: optional lead email for a confirmation message and lead capture.
    ConnectorNo auth
  • Rewrites an article's body with AI following your instructions (tone, length, add a section, fix facts...) and saves it. Targets the default-language version unless locale is given; also_apply_to_locales runs the same instructions on extra translations, one credit each. Synchronous and slow: the call takes one to several minutes, wait for it instead of retrying. Editing an article that is already published (or published in draft) marks it Out of Sync until it is synced with sync_article_to_cms or published again. Only locales that were actually rewritten are charged. Use batch_edit_articles_with_ai for many articles, and the update_* tools for headline, meta description or slug. Costs AI brain credits (see the cost rule above), charged after the work, not refunded on failure. Requires an active subscription or free trial. Pass confirm=true to acknowledge the AI brain credits charge; without it the tool only returns the cost and your balance. Pass website_id when the account has several websites (see get_account).
    Connector
    Destructive
    OAuth

Matching MCP Servers

  • A
    license
    C
    quality
    D
    maintenance
    Enables access to Usage and Billing APIs for managing accounts, products, meters, plans, and usage reporting. Supports operations like creating products/plans, reporting usage, and retrieving billing information.
    18
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.
    AGPL 3.0

Matching MCP Connectors

  • Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)

  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • Ripley — the MCP delegation surface over Fastio's RAG agent. Ripley is read-only for storage CONTENT: it answers natural-language questions about workspace/share files & folders (with citations) and never creates/edits/deletes your files — for content writes, call the primitive MCP tools directly. It DOES create/manage chat threads (chat-create/chat-update/chat-delete/message-send) and can generate shares (share-generate). Prefer Ripley over issuing many primitive reads: ask one NL question and let the server-side agent search + synthesize. Quick start: action='ask' (question + profile) → returns {answer_text, citations, chat_id, message_id, web_url}; action='status' for an engineered workspace-status summary. Lower-level chat/message actions remain for multi-turn control. Call action='describe' for the full action/param reference. Destructive: chat-delete. Side effects: ask/status/chat-create/message-send consume credits; chat-cancel terminates an in-progress message (partial tokens billed; idempotent). Verbosity (detail param): chat-list/message-list default to terse (compact rows). chat-details/message-details default to full (drill-down). Pass an explicit detail='standard'|'full' to override (best-effort: chat/message/activity endpoints may not yet honor detail server-side).
    Connector
    Destructive
    No auth
  • Return the Universal Event Format (UEF) JSON Schema for EVENT imports (schema_version 1.0), plus minimal and festival-style examples and a docs URL. Use as a schema textbook before drafting or editing UEF — no login, no AI, nothing is saved. Pair with validate_uef to check a draft locally.
    ConnectorNo auth
  • Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).
    ConnectorNo auth
  • Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).
    ConnectorNo auth
  • List all rule categories in the Email Playbook with a one-line description and page count. Categories are: structure (head/body container/header/body/footer), compatibility (Outlook MSO, RTL, responsive), production (Gmail clipping, dark mode, preheader, bulletproof buttons), ai-generation (constraints for AI emitters). For reusable components, use list_components instead — they live in a separate dimension and are not returned by get_playbook_rules.
    ConnectorNo auth
  • Checks for and installs a newer LMCP version — a self-upgrade of the LMCP app itself (not editing any of your data). Installing downloads the new version and RESTARTS LMCP (the AI client briefly reconnects), so it requires confirm=true. Pass check_only=true to only report whether a newer version is available, with no download or restart.
    ConnectorOAuth
  • Return your Chat Hub inbox: recent AI coach conversations and any pending messages. Use it to pick up where an earlier coaching thread left off. Read-only and free; takes no parameters beyond an optional result limit.
    ConnectorNo auth
  • Queues a structured visual analysis for a post: for a video, a scene-by-scene breakdown (per-scene timing, scene type, on-screen text, visual elements and a recreation note) plus an overall-style summary (color palette, text style, editing pace); for an image slideshow, per-slide text and visual descriptions. Accepts a public post URL or an internal post id. Asynchronous: returns a job reference to poll with get_job_status; once complete the analysis is attached to get_post responses (includeVisualAnalysis). Credits are charged on queueing and automatically refunded if the job fails. This is the visual twin of request_transcript. Cost: 10 credits per call.
    ConnectorNo auth
  • Attach a third-party script to a page, either by URL or as inline code. Use this for analytics, pixels, chat widgets and similar integrations rather than editing the page HTML, so the script survives page edits. Scripts are injected when the page is next saved in the editor or published; the change is not live on an already-published page until then.
    ConnectorOAuth
  • Check the privately connected signup-free session after human payment. No charge. Poll at least five seconds apart. Only active means credits/access are confirmed. The same session header can then run the editing tools; no credentials enter chat.
    ConnectorNo auth
  • Render a document template’s DRAFT against sample values and show the result to the user as a visual preview in the chat. Pass realistic sampleValues (field slug → value; arrays drive repeatSection, numbers drive conditions); missingFields in the result lists fields the samples did not cover. Use after creating or editing a template so the user sees the document before publishing. Requires document:write.
    ConnectorAPI key
  • Create or update a permanent short link and dynamic QR code for a file or PDF that is already hosted at a public URL. Use this as a fallback when the host cannot pass an attached file; prefer host_file for local or host-native attachments. When `qr_id` is provided, update the file destination while preserving the existing short link and QR code. Also used as the finalizer step by the in-chat upload form.
    ConnectorNo auth
  • Lists the chat templates Mimicly can fill in: messaging apps (for example WhatsApp, iMessage, Telegram, Discord) and AI chat apps (for example ChatGPT, Claude, Gemini). Returns each template id, display name, category, whether it can be recorded as an animated video in Mimicly, and whether clean export needs Mimicly Pro. Call it when you are not sure which template id to pass to create_chat_mockup.
    ConnectorNo auth
  • Add one or more tasks to an event (task list). Supports bulk creation. IMPORTANT: Set response_type correctly — use "text" for info collection (names, phones, emails, notes), "photo" for visual verification (inspections, serial numbers, damage checks), "checkbox" only for simple confirmations. NOTE: To dispatch tasks to an AI agent use tascan_dispatch_to_agent instead. Writing into an agent inbox list requires the agent:dispatch permission (agent:dispatch:code for CODE:/SHELL: titles) — without it the call is refused.
    ConnectorNo auth
  • Send a message to an app's built-in AI coding agent, which reads, writes, and modifies the app's code and redeploys it. Use for 'build/make a change to my app' requests. If the agent finishes quickly you get its reply directly. Otherwise you get status:'working' — do NOT resend; instead give the user LIVE progress: poll vibekit_agent_status every few seconds and relay the current step from activity.status ('editing the homepage…', 'deploying…') until activity.done, then read vibekit_agent_history for the final reply.
    ConnectorNo auth