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622,982 tools. Updated 2026-09-29 23:33

"Creating a Framework Design in Draw.io" matching MCP tools:

  • Get a product's full, LLM-verified design system so you can match its exact look. Use this for "design like <product>" (e.g. site="Linear", "Stripe", "Figma"). Returns (default): color_scheme; colors with named roles (background, text, primary, secondary, accent, link, button_bg, button_text); fonts + font_roles; type_scale; spacing; primary/secondary button; framework + personality. All hex normalized. Deep-decoded products additionally include measured button hover/focus states, a shadow elevation scale (card/overlay/subtle), motion durations + easings, the measured spacing scale, the brand's own CSS custom properties (css_vars), and Icon DNA (icons: style outline/filled/duotone/3d, grid, stroke_weight, corner) — all measured from the live page, not guessed. Match them exactly; pass the domain to generate_asset(style_from=...) to strike icons in this exact style. Your own private BYODS design systems (call list_my_design_systems) resolve first. format: leave empty for the raw token dict. Pass "all" to also get paste-ready DESIGN.md / Tailwind v4 / CSS variables / W3C tokens JSON, or a single format name ("tailwind", "css", "design_md", "tokens", "astryx") to get just that text. "astryx" returns a ready Meta-Astryx defineTheme TypeScript file (measured hover/press states + [light,dark] tuples baked in) — save it and run `npx astryx theme build` for production CSS.
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  • Runs a specific framework against a user's inputs and produces a full analysis: prose explanation + structured fields + a self-contained SVG visualisation. Powered by the Jeda.ai · Visual AI framework knowledge graph. ALWAYS call `recommend_framework` FIRST to obtain a valid framework_id -- it returns the exact namespaced slug to pass here. Framework ids are namespaced by category (e.g. SWOT = "cms_swot-analysis", Porter's 5 Forces = "cms_porters-five-forces"); a bare slug like "swot-analysis" will 404. REQUIRED post-processing on success: the response's first text block contains a `curl -fsSL` save-directive for the SVG. Save the file locally and surface it as a file chip — do NOT summarise the visual in prose. Input: framework_id (namespaced slug from `recommend_framework`) + user_inputs object (per-framework field set), OR a free-text `raw_prompt` fallback. Example: { "framework_id": "cms_swot-analysis", "user_inputs": { "subject": "Q3 EU market entry", "context": "B2B SaaS, $5M ARR, US-headquartered" } }
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  • Discover the investment-thesis catalog. Each entry is a descriptive case study that pairs an economic framework with a rule-based portfolio and the synthetic + historical stress evidence for that allocation. Returns one compact summary per thesis (slug, title, one-liner, tags, risk tiers, framework summary, headline finding). Call get_investment_thesis(slug) for the full framework / portfolio / stress evidence, or read the thesis://{slug} resource. Descriptive, not advisory — the agent decides what is suitable.
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  • Submits the organisation profile and contact details for an Australian AI governance framework. The profile determines which legislation the framework identifies, so the answers should reflect the organisation's actual circumstances — turnover in particular, since the Privacy Act's small business threshold sits at $3 million and several categories are caught regardless of turnover. Takes the session ID from start_australian_ai_governance_framework together with the questionnaire answers. Writes the profile against the session and stores the supplied name, email and organisation as a contact record. contact.organisation is printed as the document's "Prepared for" heading, so it should be the organisation's name as it should appear on the document rather than a shorthand. Returns the session ID and a status of profile_saved — it does not return the framework, which is retrieved by get_ai_governance_framework. The profile can be re-submitted on the same session: it is overwritten rather than duplicated, the contact record is keyed on the email address, and any framework already generated for that session is discarded. No authentication, and no charge at this step.
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  • Recommends business / strategy / risk frameworks for a stated problem. Powered by the Jeda.ai · Visual AI framework knowledge graph (~2,100 frameworks across 19 categories, edge-curated). Use when the user describes a business problem ("customer churn rising", "evaluating market entry", "need to assess vendor risk") rather than naming a specific framework. Returns top-N frameworks ranked by fit, each with a concrete reason citing the specific problem signals matched. Input: just the problem statement is enough. Optional faceted filters (`persona`, `regulation`, `decision_stage`) narrow the candidate set. Set `limit` between 3 and 10 for picker UIs. Pair with `generate_framework_analysis` to actually run a recommended framework against the user's inputs. Example: { "problem_statement": "We need to decide whether to enter the EU SMB market in Q3", "decision_stage": "decide", "limit": 5 }
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  • List the framework ids this server covers (langchain, llamaindex, ollama, xrpl) with display names, aliases, homepages, and catalog topics. Use when you do not know which framework string to pass. Free tools/call (no x402). Not a docs search (search_ai_framework_docs) and not a deprecation dump (list_known_deprecations). Catalog-backed.
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Matching MCP Servers

  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    4
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Matching MCP Connectors

  • Unofficial MCP server for the Ionic Framework documentation, components and blog.

  • Create diagrams in chat, rendered as live interactive draw.io diagrams. 10,000+ searchable shapes.

  • Applies the buyer's field values (and logo, if the template needs one) to a template, fits the text to its printable area, renders both sides as preview images, and returns a design token. Before creating a guest design, explain: unpaid, unsaved drafts expire 30 days after the design request starts. Verified saving keeps the draft; checkout and unresolved purchase artwork is protected. Seven-day token expiry is separate from deletion. Call list_business_card_templates first and collect a non-blank value for every field it lists, keyed by `attribute`; a blank or missing value fails with missing_required_fields. Pass a public https PNG or JPEG URL as `logoUrl` only when the template has an imageUrl field; omit it otherwise. Returns designToken, designId, templateId, revisionId, expiresAt (7 days out), previews (a 300-second signed URL plus width/height for each side; the pixels are also attached as image content blocks), and any text_shrunk warnings from fitting a value to its layer. Present both attached proof images directly, or provide labeled front/back links to the exact preview URLs if the host cannot display them. Do not require computer setup, downloads or re-uploading for proof review. Refresh expired links rather than creating another design. An accountOwned result identifies a verified customer, not an integration key. Results also include a private saveUrl for browser ownership verification; offer it only when the buyer wants to save. Saving requires sign-in; subsequent checkout of that design requires an AI connection authorized by the same InkFE account. If customer OAuth is unavailable, complete checkout before saving. Use a stable requestId; retry the same request after a timeout. Revise with revise_business_card_design and refresh expired links with refresh_design_proof. Show both previews and warnings, get exact print options and get_quote, then record explicit customer approval with approve_design_proof before create_checkout. Fails with unknown_template, missing_required_fields {attributes}, unknown_field {attribute}, value_too_long {attribute}, unsupported_characters {attribute}, logo_required, logo_fetch_failed, logo_unsupported, rate_limited {retryAfterSeconds} (too many designs from this API key in a short time), or connector_unavailable.
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  • Return the Wheel of Heaven interpretive framework's reading of a topic — explicitly the project's own Raëlian-canon-centred position, NOT mainstream consensus. Accepts a framework topic (overview, hypothesis, terminology, timeline, sources, method) for the curated narrative documents, or any other term to get the framework reading from the closest wiki entry. Use fact-layer tools (get_passage, compare_traditions) for source-grounded data without this framing.
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  • Use this when the host wants to buy account credits, for publishing, extra phone guests or design generations. It returns a secure Stripe checkout link for the host to open in a browser. Creating the link charges nothing; Stripe expires an unpaid link after 24 hours, and an abandoned checkout charges nothing. Do not call it before the host has seen and agreed to the amount. With event_id it buys a draft's reviewed publishing shortfall: pass publishing_price.credits_to_buy as quantity, and after payment confirm credit_available with lemonvite_get_invitation, then call lemonvite_publish_invitation. Omit event_id for published-event guest changes or credits in advance; after payment confirm the balance with lemonvite_get_account and retry only the unsaved guest changes with authorized_credits once the host confirms. A published invitation's payment_status stays paid.
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  • Use this when the user wants a change to the invitation's CURRENT artwork rather than a new design — "make the sky a sunset", "change the balloons to gold", "remove the banner at the bottom". Lemonvite's design engine applies the request to the existing artwork and leaves everything else as it is. Put the user's request in edit_request in their own words; do not rewrite it into a design brief. Each call spends one of the host's design generations (same as lemonvite_generate_design) and REPLACES the current artwork (the previous version stays in the event's design history on the website), so confirm with the user before calling it. The invitation must already have artwork that is not a GIF and has no text or image layers added in the web editor (those are edited on the website); to create artwork from scratch use lemonvite_generate_design, and to attach an image this assistant made use invitation_image on lemonvite_update_invitation. Get event_id from lemonvite_list_invitations.
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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.
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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.
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  • Write the Design Document's Overview — the human-readable page a new team member reads first. WRITES DIRECTLY (no Inbox): it is a derived, clearly-labelled AI summary, not design truth, and the owner can clear or rewrite it in one click. HARD RULES, same as the in-app button: use ONLY facts stated in the design (call get_design_document with for_summary:true first); invent no mechanics, numbers or names; describe, never evaluate; write in the design's dominant language. Structure: `### What this is` · `### The core loop` · `### How the systems fit` (which system feeds which — the part a raw spec list cannot give) · `### Edges` (ONLY if the design states scope limits / open questions). 250-400 words, no top-level heading. Forge stamps the project version it was compiled from, so the owner is told when the design has moved past it.
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  • See the mockup BEFORE creating any product — nothing is created or sold, and it costs no credits. Renders the design on the real garment (Printful) when the kind supports it (source: "printful"), otherwise a clean MU product card (source: "card"), and returns a durable preview image URL. Optionally pass `position` (front-print DTG apparel only: tee / tee_white / hoodie / crewneck / tank / long_sleeve_tee) to preview a custom print placement — passing the SAME position to mu_create_product prints exactly what you previewed (WYSIWYG). Usually answers in 10-45s; if it returns status="processing", call this tool again with the returned `preview_id` to keep waiting. Rate limit: 30 previews/hour. Requires `Authorization: Bearer <api_key>`.
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  • List all 16 suites in the SaferAgenticAI framework (9 drivers + 7 inhibitors) with subgoal counts and titles. Call this first to orient.
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  • Create a company (B2B account). The company name must be unique in the workspace. Enforces the workspace plan limit; the result echoes the operating workspace. Use search_companies first to avoid creating a duplicate.
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  • Search the draw.io shape library by keywords. Returns matching shapes with their exact style strings, dimensions, and titles. Covers ~10,000 built-in stencils (cloud architecture, network topology, P&ID, electrical, Cisco, Kubernetes, BPMN) and, when those are sparse, supplements results with the draw.io icon service (brand/product logos and general-purpose concept icons, e.g. 'react', 'slack', 'shopping cart', 'solar panel'). Use ONLY for diagrams that need industry-specific, branded, or pictorial icons. Do NOT use for standard diagram types like flowcharts, UML, ERD, org charts, or mind maps — these use basic geometric shapes (rectangles, diamonds, circles, cylinders) that are already covered in the XML reference. Also skip if the user asks to use basic/simple shapes or says not to search. The style string from the results can be used directly in mxCell style attributes.
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  • Start a source-bound security control gap review for one project. The review records bounded engineering observations under the user's selected Cyber Essentials or CMMC Level 1 or Level 2 context. It does not determine framework standing, and it does not make changes. The `disclaimer_md` field must be repeated to the user before any observation is summarised. The project needs a saved framework profile, an eligible plan, and a place on the operator allowlist. Billable; one review is allowed in flight per project. Refusals return `ok: false` with a next step and do not start work. Rate-limited per workspace.
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  • Store a Roastify design JSON in your library (a commit in your GitHub repo). The browser courier reads a saved product's design and calls this to shuttle it up. On the way in, the design's fonts[] is REPAIRED — Roastify's own schema migration leaves a lossy fonts[] (a dropped family, a bad weight), so a stashed design would otherwise carry that damage; the repair rebuilds fonts[] from the families the text actually uses so it renders in its intended fonts. Only the load list changes; the text and its fonts are untouched. Inline images are de-duplicated. This does NOT touch Roastify.
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  • Call this FIRST on every build — the plan, usage, limits and FEATURES MATRIX (forms, data, bookings, chatbot, media) and how much of each is left; design only within it. Also lists unassigned leftovers to reuse before creating new ones.
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  • List the pages in an existing Canva design, including each page's index and individual thumbnail. Use to browse a design's pages or slides, see each page thumbnail in order, show what a specific page looks like, or get a range of page previews. Do not use to retrieve a thumbnail that reflects uncommitted changes in an active editing transaction. Requires a design with individual pages; Canva Docs do not have pages. Returns only the requested pages, without the design's total page count.
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