650,527 tools. Updated 2026-10-14 06:12
"Guide to Creating 3D Models in Blender" matching MCP tools:
- Create a reusable benchmark with a mandatory scoring judge. scenario_type='enrichment' needs schema_id and entity_data (the entity to enrich, as enrich_entity takes it — refused when it carries no value; never put it in description); 'sample_generation' needs sample_request; 'schema_generation' needs entity_samples (1..20 samples of one entity type). Enrichment and schema generation need a verified gold reference via set_benchmark_reference before running. Sample generation is rubric-scored and takes no reference. Requires owner and a plan with benchmarks; creating the scenario does not run the models. Returns the scenario and link. Next call run_benchmark when its reference requirements are satisfied. See enricher://docs/model-benchmark.ConnectorOAuth
- List all AI models available on Gonka Network with live pricing. Models work as drop-in replacements for OpenAI and Anthropic — same SDK, same API calls. Use this when user asks which model to use or wants alternatives to GPT-4o / Claude. Returns: model IDs (use directly in openai.chat.completions.create), status, USD per 1M tokens. After this: call calculate_savings() to see annual savings with these models.ConnectorNo auth
- 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`.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
- Start building a low-poly 3D model with pixel-art textures from a prompt and/or reference images (paid). reference_models puts your existing models (by asset_id) into it exactly, e.g. "a tavern with my table". Optional input_palette (a palette image, as for create_inference): the model uses only its colors, and revisions and animations keep them. Returns task_id and asset_id immediately; poll get_lowpoly_job(task_id) until it succeeds (usually 1-5 minutes). Then use export_lowpoly_model for .glb/.bbmodel/Minecraft/OBJ files, start_lowpoly_revise to change it, or start_lowpoly_animate to add motion. Failed jobs are refunded automatically; never restart a running job.ConnectorNo auth
- Start building a low-poly 3D model with pixel-art textures from a prompt and/or reference images (paid). reference_models puts your existing models (by asset_id) into it exactly, e.g. "a tavern with my table". Optional input_palette (a palette image, as for create_inference): the model uses only its colors, and revisions and animations keep them. Returns task_id and asset_id immediately; poll get_lowpoly_job(task_id) until it succeeds (usually 1-5 minutes). Then use export_lowpoly_model for .glb/.bbmodel/Minecraft/OBJ files, start_lowpoly_revise to change it, or start_lowpoly_animate to add motion. Failed jobs are refunded automatically; never restart a running job.ConnectorNo auth
Matching MCP Servers
- FlicenseAqualityBmaintenanceEnables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.8-
- AlicenseNot gradedqualityCmaintenanceConnects MCP-compatible assistants to Blender to read scene and selection context, and optionally execute user-requested Python through Blender's native API when explicitly enabled.5MIT
Matching MCP Connectors
Ask Claude, GPT, Grok, GLM, Kimi or DeepSeek from your client; token price plus a $0.001 call fee.
Ask any text model in the TopxAI catalogue (Claude, GPT, Grok, GLM, Kimi, DeepSeek) from inside another model's conversation: a second opinion, a review, or a model the host does not have. Tools: list_models (models, USD prices per million tokens and the call fee) and ask_model. Authenticate with a TopxAI API key as a Bearer token; billed at the model's token price plus a $0.001 call fee. Docs: https://ai.topxea.com/mcp
- 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.ConnectorOAuth
- Run a Tripo3D post-process on an existing Popcraft 3D model: "convert_model" (export FBX/OBJ/STL/USDZ/GLTF/3MF, optional quad + face_limit + texture_size — the cheap way to get a Blender-friendly FBX (fbx_preset "blender") or a decimated mesh; the source is already a GLB, so use FBX/GLTF rather than GLB as the target), "highpoly_to_lowpoly" (retopologize to a low-poly game/rig-ready mesh, params quad/face_limit/bake), "refine_model" (upgrade a draft to higher detail), "texture_model" (re-texture with texture_prompt / style_image_url, texture_quality, pbr), "stylize_model" (style "lego" | "voxel" | "voronoi", block_size 32–128), "mesh_segmentation" (split into named parts), "mesh_completion" (fill holes; optional part_names). `source` is the `job_id` returned by `popcraft_generate_3d` / `popcraft_job_display`, or a 3D asset id from the /model-3d workspace — only Tripo-generated models can be post-processed. `params` is the per-operation object described above (omit for defaults). Set `get_cost:true` first to preflight the credit cost WITHOUT submitting — refine/stylize/completion/lowpoly are variable-cost and reconcile to Tripo's actual usage on completion. On success an interactive result card is shown and refreshes itself — do NOT poll; call `popcraft_job_display` at most once if no card is visible. The output is a new 3D asset (lineage-linked to the source) whose URL you can download or import into Blender. Never tell the user how long the job will take or quote any estimate of generation time — the result card shows progress.ConnectorOAuth
- 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.ConnectorOAuth
- Run a Tripo3D post-process on an existing Popcraft 3D model: "convert_model" (export FBX/OBJ/STL/USDZ/GLTF/3MF, optional quad + face_limit + texture_size — the cheap way to get a Blender-friendly FBX (fbx_preset "blender") or a decimated mesh; the source is already a GLB, so use FBX/GLTF rather than GLB as the target), "highpoly_to_lowpoly" (retopologize to a low-poly game/rig-ready mesh, params quad/face_limit/bake), "refine_model" (upgrade a draft to higher detail), "texture_model" (re-texture with texture_prompt / style_image_url, texture_quality, pbr), "stylize_model" (style "lego" | "voxel" | "voronoi", block_size 32–128), "mesh_segmentation" (split into named parts), "mesh_completion" (fill holes; optional part_names). `source` is the `job_id` returned by `popcraft_generate_3d` / `popcraft_job_display`, or a 3D asset id from the /model-3d workspace — only Tripo-generated models can be post-processed. `params` is the per-operation object described above (omit for defaults). Set `get_cost:true` first to preflight the credit cost WITHOUT submitting — refine/stylize/completion/lowpoly are variable-cost and reconcile to Tripo's actual usage on completion. On success an interactive result card is shown and refreshes itself — do NOT poll; call `popcraft_job_display` at most once if no card is visible. The output is a new 3D asset (lineage-linked to the source) whose URL you can download or import into Blender. Never tell the user how long the job will take or quote any estimate of generation time — the result card shows progress.ConnectorOAuth
- Read the Meridian Dispatch guide to one country or one town, for planning a stay there. Returns: why go, how long to stay, the best months, getting there and around, practical FAQ answers, a structured fact sheet where one exists (nights, months, travel times in minutes, areas to stay, ranked top things, day trips, watch-outs), up to 15 ranked places worth your time with their own guide links, recommended hotels, the town guides of a country, related dispatches and a citation. Use it for "what to do in X", "how many days in X" or "where to stay in X". For a single sight, trail, event or ski resort use get_place; for a long-form dispatch use get_dispatch; to find a destination by theme use search_guides; for towns within reach use list_nearby. Matching tries a country first, then a town. A country with town guides but no country guide returns its town guides and dispatches instead. Read-only. An unknown name returns an error message.ConnectorNo auth
- Show 2+ finished results in one gallery (browse / sort / group / filter). Triggers: "show me all of those", "put these three side by side", "line them up so I can compare", "drop / gather all of those clips into one place" — 2+ existing var2 links or ids = THIS tool, not an upload. items: 2–24 placeholder_ids and/or var2 links, any mix of images / videos / tracks / 3D. Finished items show instantly; rendering ones fill in. Never call with empty items. Single result → var2_get_<modality>_result. "What models are available" has no ids → var2_list_models (voices: var2_get_voice_list). display=false returns data (states + URLs) without rendering, for chaining.ConnectorAPI key
- Prepare a model for an animated walkthrough / video export by verifying the manifest is complete, then starting a secondary Model Derivative job that produces OBJ geometry (suitable for ingestion into offline rendering pipelines, Blender, or Unreal Engine). Also returns the list of available named views so the operator can stitch them into a camera path. Does NOT itself produce an mp4 — video encoding happens in the downstream UE/Twinmotion pipeline. When to use: when a user wants a walkthrough/flythrough video of a BIM model (e.g. 'make a 30-second tour of Tower A') — this tool gets the geometry into a UE-ingestible form (.obj, plus suggests FBX/glTF/USD naming like TowerA_walkthrough.fbx for the exported asset) and enumerates named views to guide camera path authoring. When NOT to use: not to actually encode video (no runtime renderer in this worker — output must be finished in Unreal/Twinmotion/Blender), not before tm_import_rvt, not if the manifest is still 'inprogress' (the tool will short-circuit and return status='pending'). Not for still images (use tm_render_image) or clash animations (use navisworks-mcp). APS scopes required: data:read data:write viewables:read. Write scopes are needed because this kicks off a new Model Derivative translation job (OBJ + thumbnail). Rate limits: APS default ~50 req/min; Model Derivative translation jobs ~60 req/min. OBJ derivatives of large BIM models can be multi-GB and take 10–45 min — rely on manifest polling with exponential backoff, not re-calling this tool. Errors: 401/403 = token/scope (data:write commonly missing); 404 = URN not found; 409 = OBJ derivative already queued (treat as success); 422 = input format does not support OBJ output (some IFC variants / proprietary formats — fall back to FBX/glTF via a different derivative format); 429 = back off 60s; 5xx = APS upstream. Side effects: STARTS a new translation job on an existing URN (consumes APS cloud credits). Writes usage_log. NOT idempotent per-call (each call creates a new job record), but APS will dedupe identical output requests internally if manifest already contains the derivative.ConnectorNo auth
- Enumerate every 2D/3D view ('scene') baked into the translated model, plus a shallow dump of the model object tree (first 50 top-level nodes across all 3D views), plus the list of completed derivatives (svf2, thumbnail, obj, etc.) available via APS. The canonical discovery tool for anything downstream that needs a view name or GUID. When to use: before tm_render_image (to pick a valid camera_preset), before tm_export_video (to plan a camera path across named views), to audit what was translated ('did the 3D coordination view survive translation?'), or to expose the top-level model hierarchy for UI display. Also a useful health check — if scene_count=0, the translation is incomplete or failed. When NOT to use: not for full property queries on individual objects (this tool returns names + GUIDs + child counts only — use a dedicated property-query tool for full attribute dumps), not for geometry data (use tm_export_video for OBJ export), not on a URN that has not yet started translating. APS scopes required: viewables:read data:read. Read-only across Model Derivative manifest + metadata + object-tree endpoints. Rate limits: APS default ~50 req/min. This tool fans out across every 3D view to fetch object trees — for models with many 3D views (10+) it can burn a chunk of the budget in one call. Prefer caching the result on the caller side rather than re-invoking. Errors: 401/403 = token/scope; 404 = URN not found; 422 = n/a; 429 = back off 60s (this tool makes multiple APS calls per invocation, so 429 is more likely than on single-call tools); 5xx = APS upstream. A 202 on object-tree means APS is still building the tree — the tool retries once internally. Side effects: NONE on APS (read-only). Writes a usage_log row. Idempotent.ConnectorNo auth
- Fetch one situation in full: structured answer (who to call, costs, FAQ, sources) plus the complete step-by-step guide as markdown. Use category and slug values from route_emergency or list_scenarios.ConnectorNo auth
- 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.ConnectorNo auth
- Full-text search over the Wikimedia Enterprise API documentation: guide sections, the changelog, pricing, endpoints and response models. Exact tokens work best (a field name such as `reference_risk_score`, a status code such as `429`, or a path such as `/v2/snapshots/{identifier}/download`); plain questions work too. Returns ids to pass to `fetch`.ConnectorNo auth
- 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.ConnectorOAuth
- 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.ConnectorNo auth
- 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.ConnectorNo auth
- List saved viewpoints / camera positions and top-level view containers for a translated Navisworks model. Pulls the metadata view list and enriches each 3D view with its first two levels of the object tree (viewpoint folders typically live there in NWD files). When to use: when preparing a coordination meeting and you need a quick index of every saved viewpoint (e.g. "Level 3 Mech Room", "Clash - duct vs beam gridline C-4") to drive screenshots or BCF-style issues; when an agent needs to deep-link a 2D sheet or 3D camera into the APS Viewer. When NOT to use: does not return camera matrices (position/target/up vectors) — APS Model Derivative does not expose those from the NWD viewpoint XML; for full camera data the source NWD must be opened in Navisworks Manage. APS scopes required: viewables:read data:read. Rate limits: APS default ~50 req/min; this tool fans out one object-tree call per 3D view (capped implicitly by metadata view count, usually <5). For federated models with many sheets this can approach the per-minute quota — cache the result. Errors: 401 token (retry); 403 scope (report); 404 URN not found / translation incomplete; 409 N/A; 422 model returned empty metadata (returns viewpoint_count:0 rather than throwing — agent should verify translation via nwd_export_report); 429 rate limit (backoff); 5xx APS upstream (retry once). Per-view object-tree failures are swallowed so the overall call still returns the metadata-level view list. Side effects: none. Pure read. Idempotent. Logs usage to D1 usage_log. Results are capped at 100 viewpoint entries.ConnectorNo auth