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650,527 tools. Updated 2026-10-14 05:28

"A guide to 3D modeling" matching MCP tools:

  • 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. IMPORTANT, HOW TO READ THE RESPONSE OF THIS ENDPOINT, WHICH SPENDS CREDITS. Queries listed in `guidesFailed` are PROVEN not to have produced a guide and their credit was given back (unless the account has unlimited credits, where nothing was reserved): re-sending them is free and correct. Queries listed in `guidesUnknown` have an UNDECIDABLE outcome and their credit is deliberately KEPT, because the guide was most likely written: DO NOT re-send them, you would pay for the same guide twice. Look them up in `GET /api/v1/guides` after a few minutes instead, and contact support if nothing shows up. Finally, a `200` is NOT a promise that every query produced a guide: compare `guides.length` with the number of queries you sent, never read `success` alone, and never re-send a query just because it is missing from `guides`.
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  • Generate a 3D mesh (GLB) with Tripo3D from a reference image (image-to-3D) or a text prompt (text-to-3D). Use when the user wants a 3D model, mesh, game asset, printable object, VTuber/character base, or "turn this picture into 3D". Pass `image_url` (a GCS url from `popcraft_media_import_url`, `popcraft_media_upload`, or a prior `popcraft_generate_image` result) for image-to-3D — a single clean subject on a plain background, front or 3/4 view, works best; for a character use an A-pose/T-pose front view. Omit `image_url` and pass `prompt` for text-to-3D. Defaults: `model_version` "tripo-v2.5" (best quality/cost), `texture` true, `pbr` true, `quad` false (triangles — set true for a quad mesh that is easier to edit/rig in Blender; Tripo then returns FBX), `geometry_quality`/`texture_quality` "standard" ("detailed" costs more). `smart_low_poly` produces a game-ready low-poly mesh. `style` applies a Tripo preset (e.g. "person:person2cartoon", "object:clay", "object:steampunk") — list them via `popcraft_models_explore` with `type:"3d"`. Set `get_cost:true` to preflight the exact credit cost WITHOUT submitting — always do this the first time so the user can confirm. Generation takes ~1–3 minutes. On success an interactive result card is shown and refreshes itself — do NOT poll in a loop; call `popcraft_job_display` at most once if no card is visible. The finished result URL is a downloadable GLB (or FBX when quad=true) that also appears on the Popcraft /model-3d workspace, where it can be refined further with `popcraft_postprocess_3d` (retopology, retexture, stylize, mesh completion, format conversion). The result includes `project` — mention where it was saved when the user did not pick a project. Never tell the user how long the job will take or quote any estimate of generation time — the result card shows progress.
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  • Generate a 3D mesh (GLB) with Tripo3D from a reference image (image-to-3D) or a text prompt (text-to-3D). Use when the user wants a 3D model, mesh, game asset, printable object, VTuber/character base, or "turn this picture into 3D". Pass `image_url` (a GCS url from `popcraft_media_import_url`, `popcraft_media_upload`, or a prior `popcraft_generate_image` result) for image-to-3D — a single clean subject on a plain background, front or 3/4 view, works best; for a character use an A-pose/T-pose front view. Omit `image_url` and pass `prompt` for text-to-3D. Defaults: `model_version` "tripo-v2.5" (best quality/cost), `texture` true, `pbr` true, `quad` false (triangles — set true for a quad mesh that is easier to edit/rig in Blender; Tripo then returns FBX), `geometry_quality`/`texture_quality` "standard" ("detailed" costs more). `smart_low_poly` produces a game-ready low-poly mesh. `style` applies a Tripo preset (e.g. "person:person2cartoon", "object:clay", "object:steampunk") — list them via `popcraft_models_explore` with `type:"3d"`. Set `get_cost:true` to preflight the exact credit cost WITHOUT submitting — always do this the first time so the user can confirm. Generation takes ~1–3 minutes. On success an interactive result card is shown and refreshes itself — do NOT poll in a loop; call `popcraft_job_display` at most once if no card is visible. The finished result URL is a downloadable GLB (or FBX when quad=true) that also appears on the Popcraft /model-3d workspace, where it can be refined further with `popcraft_postprocess_3d` (retopology, retexture, stylize, mesh completion, format conversion). The result includes `project` — mention where it was saved when the user did not pick a project. Never tell the user how long the job will take or quote any estimate of generation time — the result card shows progress.
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  • Return a focused write-up of the three DRS modeling primitives: Constraint (rate-limiter), Buffer (accumulated state), Interrupt (stoppage). Use this when the user asks specifically about modeling primitives or how to spell a system in DRS. Deterministic text.
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  • Returns an official GuruWalk support guide for a specific traveler-support topic. GuruWalk is a platform for free walking tours and paid activities; these guides are GuruWalk's own source of truth on how bookings, cancellations, account settings and contacting guides actually work, including current policies and the exact URLs travelers should use. These guides apply only to bookings and accounts on guruwalk.com. Available topics: - account_settings: The traveler wants to manage their GuruWalk account: edit their details (name, surname, phone, city, password), change their email, stop receiving emails / unsubscribe, or delete their account; or they can't access their account. These are concrete steps you shouldn't improvise: consult this before answering. - contact_guru: The traveler wants to contact or coordinate something with the guide of their GuruWalk booking, or thinks they are talking directly to the guide: they can't find them at the meeting point, the guide didn't show up, they're running late, they treat you as if you were the guide, ask for the tour photos, or ask about bringing a pet or paying the guide, or have a question only the guide can answer. - free_tour_modification: The traveler wants to modify or reschedule their GuruWalk free tour — change the day, time, language or number of people — or asks how to do it. - group_booking: The traveler wants to book or extend a GuruWalk booking for a group (they usually say how many; treat it as a large group from around 6 people), asks how to book for many people, can't book for the whole group, sees a large-group notice or is asked for a card or payment for the group, or had a booking cancelled as "group or duplicate". The rules aren't intuitive; consult this before advising. - paid_cancellation: The traveler wants to cancel or change a paid activity booked on GuruWalk, asks about a refund, or can't cancel from their account. Call this when the traveler raises a support topic covered above. Pass the exact topic; the guide content is returned.
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  • Mamanida's editorial buying guides for one storefront, in that storefront's own language. Called without `guide` it lists the published guides (metadata only: title, deck, meta description, pillar, topics, dates and the canonical Mamanida URL), optionally filtered by `topic`. Called with `guide` (the guide slug from the listing) it returns that one localized edition plus its structured body: paragraphs, headings, lists, comparison tables, callouts, links to other guides and category calls-to-action. A `category_cta` gives a `category_slug` you can pass straight to search_products, which is the intended guide → category → product path. Retailer and affiliate URLs are never returned.
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  • Return the user's personalization guide — how they want a person researched before you write to them. Call this only when you are going to personalize a message; follow the returned guide. When none is set, returns a note and you should fall back to the default research rules in the outreach craft skill.
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  • The published guides. With no slug: the list, newest first, each with its title, description, written date and address, optionally only those whose title, description or slug contain every word of q. With a slug: that guide in full, its body as markdown. A guide that is not published is not found.
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  • Read the full text of a cooking guide from recipes-daily.com, as markdown. Call this when search_recipes lists a guide that answers the question — how or why something works in the kitchen, how to store or substitute an ingredient, how to use a piece of equipment — and answer from what it says rather than from memory, citing its URL. Pass the guide URL exactly as search_recipes returned it. For recipes, use show_recipes instead: a recipe is a page the person cooks from, not text to retell.
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  • Textured 3D model (GLB) from an image or a text prompt. texel-3d-pro = state of the art, highest quality, HD texture with PBR maps (base color, metal/roughness, normal); texel-3d-alt = another excellent option, PBR maps; texel-3d-express = fast, decent quality (~20K triangles, PBR); texel-3d-draft = very fast drafts and distant props, color texture only, not for final quality. Without image_url, a reference image is generated from the prompt first. Asynchronous: returns a generation id; poll get_generation. Spends credits (refunded automatically on failure). Typical time: 180 s.
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  • Returns one GunSpec documentation guide as Markdown. Pass the anchor of a section from gunspec_search_docs to read just that section, which is what an answer usually needs; omit it for the whole page, which can run to tens of kilobytes. Quote what this returns rather than paraphrasing from memory, and cite the url. Call gunspec_search_docs first unless the guide id is already known.
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  • List the URBot catalog of 150+ trained vertical AI expert bots with slug, name, tagline, category, and price tiers (most bots start at $1). Optionally filter by category (e.g. education, health, finance, legal, technology, outdoor, 3d-modeling, game-dev, 3d-printing, media). Use the returned slug with get_bot, chat_with_bot, or get_skill. URBot bots keep your data yours - each one is downloadable and runs locally.
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  • Returns reference data for a supported MLP ticker — current cash distribution per unit, distribution growth CAGR, default return-of-capital percentage, distribution coverage ratio, K-1 entity count, operating-state count, and last-verified date. Use when: User wants to look up baseline characteristics of an MLP before modeling — e.g., comparing distribution coverage across partnerships, checking how many K-1 entities a holding generates for tax-prep complexity, or seeing the operating-state count for state-tax filing-burden estimation. Don't use for: Tax computation. Use mlp_projection (long-horizon modeling), mlp_estate_planning (estate analysis), mlp_sell_vs_hold (break-even sell price), or k1_basis_compute / k1_basis_multi_year (computing basis from actual K-1 data). Note: This tool returns reference data only — no IRC citations apply, no methodology disclosure attached. For computation, use the modeling tools above. Maintained by Lucas Andersen, MS Finance.
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  • Returns reference data for a supported MLP ticker — current cash distribution per unit, distribution growth CAGR, default return-of-capital percentage, distribution coverage ratio, K-1 entity count, operating-state count, and last-verified date. Use when: User wants to look up baseline characteristics of an MLP before modeling — e.g., comparing distribution coverage across partnerships, checking how many K-1 entities a holding generates for tax-prep complexity, or seeing the operating-state count for state-tax filing-burden estimation. Don't use for: Tax computation. Use mlp_projection (long-horizon modeling), mlp_estate_planning (estate analysis), mlp_sell_vs_hold (break-even sell price), or k1_basis_compute / k1_basis_multi_year (computing basis from actual K-1 data). Note: This tool returns reference data only — no IRC citations apply, no methodology disclosure attached. For computation, use the modeling tools above. Maintained by Lucas Andersen, MS Finance.
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  • Get the guide to authoring a wireframe mockup — the markup dialect, the wireframe component set, what the drawn style discards, and a complete valid example. Call this BEFORE composing your first mockup in a conversation: markup written from general Tailwind and HTML habits is refused, and the guide is what an author needs to write a mockup that is accepted first time.
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  • Browse Fly Frugal's published day-by-day budget travel itineraries. Use this to discover which destinations have a guide, then call get_itinerary with a returned slug for one guide's preview. Each item has slug, country_name, tagline, days_count, a preview, cover and first-day image URLs, price_cents and currency for the full guide, updated_at, and pdf_ready. Results are newest first. Only public previews are returned; the paid full guide is never included.
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  • Financial Modeling Prep cash-flow statement for a US-listed ticker: operating, investing, financing activities, free cash flow, capex, net change in cash. Annual (period=annual) or quarterly. Use for fundamental analysis, DCF inputs, cash-flow valuation.
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  • Full use-case detail as a JSON+Markdown envelope: step guide, pros/cons, FAQ, tools used (JSON) + the full narrative guide (Markdown, full_md). null if unknown. Pass `fields` to project to only the keys you need (token-efficient).
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  • Retrieve one canonical Homechecker guide by slug. Use a slug returned by list_guides or search_guides. Returns source links, review metadata, method and limitations with the guide.
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  • Validate an API specification against style guide rules. Returns violations grouped by severity (error, warning, info) with rule details and affected paths. Use this to check against style guide rules; to check against the OpenAPI standard use validate_spec. Requires project context.
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  • Fetch a Tessryx guide by topic (markdown). Use list_guides to see the available topics. Reach for the relevant guide before authoring to avoid trial-and-error.
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