"A tutorial or tools for building 3D models in CAD software" matching MCP tools:

• searchA

  PrintPalA

  Search everything on PrintPal for a 3D-printing query: community 3D models, free tools and calculators, wiki troubleshooting articles, OpenSCAD/AI-CAD docs, video tutorials, build guides and Academy courses. Returns ids accepted by `fetch` for the full content. Suited to general 3D printing questions such as "why is my first layer not sticking", "PETG temperature" or "3D printed phone stand".

  ConnectorNo auth

• file_createA

  TeamSharedC

  Create a new versioned shared file in the caller's org. Shared files default to private. Call ``file_publish`` to generate the public share URL (``/s/{share_token}``). Each ``file_update`` creates a new immutable version row. Pass ``work_id`` to attach it to a task and/or ``project_id`` to attach it to a project (same ``shared_files`` row; project attachments are ``kind=artifact`` only). ``content_format='diagram'`` takes either diagram schema: - ``teamshared.diagram/v1`` — ``body: {format: mermaid, text: "..."}``, rendered as Mermaid. Best for flowcharts, sequences, and ER sketches. - ``teamshared.diagram/v2`` — ``body: {format: scene, layers: [...], nodes: [...], edges: [...]}``, rendered as a layered 3D scene where each layer is a plane (infra / software / data by convention), each node sits on one layer, and edges may cross layers. ``kind`` (default ``system``), ``view`` (``layers``), ``mode`` (``authored``) and ``body.camera`` are optional. Every node needs ``id`` and ``layer``; ``shape`` is ``box`` | ``cylinder`` | ``sphere`` | ``cone``; edges are ``{from, to, label?, kind?}`` with ``kind`` one of ``sync`` | ``async`` | ``data`` | ``depends``. Omit ``x``/``z`` to get an automatic grid on the plane. Caps: 8 layers, 300 nodes, 600 edges, 256 KiB. Unknown keys are rejected.

  ConnectorNo auth

• get_node_configsA

  NoClickA

  Manual fallback: returns a node type+operation's config SCHEMA (the fields you can set) — NOT a live node's saved config (use get_node for that). Takes "type:operation" pairs (e.g. ["automation-slack:send_message_to_channel"]). Prefer search_operations(detail_level='full') for intent lookup, or update_workflow(include_configs=true) while building.

  ConnectorOAuth

• list_paired_modelsA

  ReliaStatsA

  Return the catalog of paired models — concrete real-world systems that live in two ChiAha sandboxes simultaneously, one for dynamics (DES via ReliaSim) and one for statistics (distribution fitting + validation via ReliaStats). Today: a single paired model — the bottling line. Returns canonical model IDs + cross-MCP routing metadata (which ReliaSim chapter, which ReliaSim MCP tools, which ReliaStats mode consumes which file shape). Use when a user asks about cross-MCP workflows, paired sandboxes, or the bottling-line example. ANTI-FABRICATION: this is a soft-reference catalog — to actually run a simulation, the LLM client calls ReliaSim's MCP tools directly.

  ConnectorNo auth

• nwd_export_reportA

  Navisworks MCPA

  Build a coordination report for a translated Navisworks model: translation status/progress, derivative outputs, available views (2D sheets / 3D viewables), total element count, and a per-category element breakdown. Doubles as the canonical way to poll translation status after nwd_upload. When to use: after nwd_upload to check whether translation has completed before calling clash/object tools; at the end of a coordination session to generate a status snapshot for the weekly BIM report; when auditing a model revision to confirm expected element counts per discipline. When NOT to use: do not use for a per-element property dump — use nwd_list_objects; do not use for clash results — use nwd_get_clashes. APS scopes required: viewables:read data:read bucket:read (read-only). Rate limits: APS default ~50 req/min per endpoint; this tool issues up to 4 sequential APS calls (manifest, metadata, properties — two with retry). When polling for translation completion, backoff: 5s, 10s, 30s, 60s, 120s — Model Derivative NWD translation typically completes in 1-10 min but large federated models can take 20+ min. Errors: 401 APS token expired (retry); 403 missing scope (report); 404 URN not found (model was never uploaded or bucket TTL expired); 409 N/A; 422 translation failed permanently — inspect report.translation_status == "failed" and report.derivatives[].status; 429 rate limit (backoff); 5xx APS upstream (retry once). Property extraction may legitimately 202 "isProcessing" — the tool handles retry and then silently swallows to still return manifest/metadata (element_count will be 0 until properties index is built). Side effects: none. Pure read. Idempotent — report reflects current APS state. Logs usage to D1 usage_log.

  ConnectorNo auth

• how_munimji_helpsA

  HelloBooks AI AgentsA

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

  ConnectorNo auth

• how_munimji_helpsA

  HelloBooks AI Agents MCP ServerB

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

  ConnectorNo auth

• create_cloud_connectionA

  Tomorrow Central: Cloud Cost SentinelB

  Start linking a cloud account so it can be scanned. `provider` is "aws", the only provider supported today; `account_id` is the 12-digit AWS account number. `software` is the Tomorrow Central software the link is for; omit it for Cloud Cost Sentinel. Each software has its own read-only role, so link once per software. This is a two-party flow and you cannot finish it alone — creating the read-only IAM role requires the human's AWS credentials. Returns a `launch_url`. Hand the human these instructions verbatim: 1. Open the launch_url (a pre-filled CloudFormation quick-create link). 2. Review the read-only role it creates, then click Create stack. 3. Tell you when the stack says CREATE_COMPLETE. Then call `verify_connection` with the returned connection_id. Verification fails with a clear message until the role exists, so polling it every ~15 seconds is safe and expected. No ARN or secret needs to be copied by anyone.

  ConnectorNo auth

• get_match_statusA

  keywordiseA

  Only for checking on a match or feed rebuild that is already running (after upload_cv, update_targeting or refresh_matches); to find or show jobs use list_matching_jobs. Live status of the latest match run (scanned, inserted, elapsed), the feed counts it produced, and `feed_build`: where the feed is in its build (queued, building, ready, failed). Poll after upload_cv, update_targeting or refresh_matches; the feed is final only when feed_build.feed_state.state is `ready`.

  ConnectorNo auth

• search_contentA

  Glushkov Modelling MCPA

  Read-only. Searches build-log metadata and tutorial metadata by keyword. Build-log matches use model title, model slug, historical year, part title, and excerpt. Tutorial matches use tutorial title and short description only. Use this tool for broad content discovery when the relevant model or tutorial is not yet known. Use search_tutorial_content when the requested term, technique, material, tool, or instruction may occur inside the complete body text of a tutorial. Use get_build_details or get_tutorials to retrieve details after identifying a relevant result. Every query term must match across the searchable fields of a result. Returns separate buildLogResults and tutorialResults arrays, each limited to the requested limit. If no content matches, both result arrays are empty.

  ConnectorOAuth

• send_feedbackA

  agtrepo-memoryB

  Free. Sends a message to the human operators of this service: a bug report, a problem with these tools or the documentation, or a suggestion. It is read by people, not processed by software, and nothing is returned beyond an acknowledgement. Do NOT use it for status updates, progress notes, task narration, error logs, or as a fallback when another tool is unavailable or a payment cannot be made -- it cannot complete, retry or work around any task. Name is optional (omit for anonymous feedback); message is limited to 1000 characters.

  ConnectorNo auth

• get_building_characteristicsA

  normiA

  Get physical building characteristics for a DVF transaction from the BDNB national building database. Returns: construction year, number of units, number of floors, wall material, roof material, primary usage, and median price/m² from BDNB's pre-2022 DVF aggregate stats. REQUIRED: transaction_id (DVF transaction ID — get this from the "id" field in search_property_transactions results) Match method: spatial proximity (nearest BDNB building within 200m). Returns null + refunds credits if no building found within 200m. Workflow: call search_property_transactions first → use an "id" from the results as transaction_id here. Example: transaction_id: "12345678" → { building: { annee_construction: 1967, nb_logements: 48, mat_mur: "beton", ... } } Cost: 2 credits

  ConnectorAPI key

• twelfth_get_preferencesA

  TwelfthA

  Read stored preference values and the keys this connection may read at user, organization or membership scope. Use it for defaults such as cover targets and display choices. For Twelfth staff with workspace owner/admin access, organization scope also returns the managed chat runtime policy and available models. Those staff with Allow changes can use twelfth_update_agent_policy for runtime settings; settings that twelfth_update_settings can change carry updateWith, and twelfth_get_settings reads them with their revision. Integrations and category remits have their own tools (twelfth_list_integration_guides, twelfth_list_category_settings); personal and membership scopes need a person's OAuth connection.

  ConnectorOAuth

• upload_partA

  Make Parts Now: 3D Printing & CNC Machining QuotesA

  Upload a CAD file (STL, 3MF, OBJ, STEP) from an https URL or base64 content (filename required for base64). MCP requests are limited to 4 MB, so base64 works for files up to about 3 MB; use a URL or get_upload_url for larger files. no_controlled_data must be true: confirms the file has no CUI/ITAR/export-controlled data. Returns a part with status 'pending'; poll get_part until 'ready' (usually seconds), or pass wait_seconds.

  ConnectorNo auth

• list_job_filesA

  AI3D StudioA

  List the files a finished job already has, one per format: the main result plus any alternate formats the model returned (for 3D models, for example glb with fbx or usdz), each with a public download URL. Pass format to find one format. This does not convert: if the format asked for is not there, available_formats says what is, and a model can be exported to other formats from the web app model viewer.

  ConnectorNo auth

• z2h_search_marketplaceA

  Zero to Hundred marketplaceA

  Find live software by keyword before building from scratch. Public, no sign-in needed. Returns descriptions, USD license prices, tech stacks and listing links. Example: {"search": "invoice", "limit": 5}. Empty search browses recent software. When hasMore is true without nextCursor, narrow the search. Matching is lexical. Errors set isError; retry a rate limit later. Use z2h_compare_marketplace_listings for a shortlist or z2h_show_marketplace for cards. A result does not guarantee suitability or purchase availability.

  ConnectorNo auth

• create_3d_modelA

  OceanTokenA

  Start a 3D model generation job: from a text prompt, from one image (image_url), or from 2-4 views of one object (image_urls, in the order front, left, back, right). Returns a job_id immediately; poll get_job until completed (typically 1-3 minutes). The result is a glb file link valid about 24 hours. Billed per model; estimate_cost first and tell the user the price, and pass max_cost_usd to refuse anything over the agreed budget. Images must be public URLs or data: URLs (use upload_file for local files).

  ConnectorAPI key

• generate_imageA

  Galatic.aiA

  Generate images from a prompt. model is required by the server (400 without it): a model id from list_models, such as "flux-pro"; video models are refused. count makes 1-4 images and is charged per image. imageUrls is used only by image-to-image models, which require it; text-to-image models ignore it. Most models run in the background and return the id as job_id; a few answer at once with { images } already saved to the library. With count above 1, the status poll reports complete after the first image; find the rest with list_gallery. Spends Galatic.AI credits. Returns a job id; poll get_job_status with kind "image".

  ConnectorOAuth

• civil_run_analysisA

  MIDAS CIVIL NX tools (MIDAS IT Europe)A

  Runs the CIVIL NX analysis of the open model (doc/ANAL), so results can be read with the result tools straight after building or changing a model. Replaces the model's results; changes no model data. The model must have been saved to a file at least once (the API cannot analyse an unsaved model): saveFirst: true saves it over its file first. Previews unless apply: true. Can take minutes on a large model.

  ConnectorNo auth

• create_uploadA

  Multiplayer AgentA

  Upload files straight from disk instead of pasting their bytes into a tool call: for images, audio, fonts, 3D models, and ANY file over ~50 KB (a tool call can't carry megabytes of base64). Give each file's hosted path and exact size in bytes; get back one URL per file. PUT each file to its URL with curl, from the game's folder: curl -sS -T <local file> "<url>" (Windows PowerShell: curl.exe). Each URL takes ONE PUT of exactly that many bytes and expires in 15 minutes, so upload right away. Then call publish_game with { path, uploadId } entries for these files (small text files can still go inline next to them), or deploy_room_logic with uploadId for a long logic file. An upload belongs to the game it was made for and is used up by the publish. Limits on this studio's plan: 100 files per call, 5 MB per game.

  ConnectorNo auth

• list_companies_by_sicA

  beatandraise.com SEC FilingsA

  List the companies in an industry, using the SEC's Standard Industrial Classification (SIC). Pass a SIC code (3-4 digits, e.g. "6200" for securities brokers and exchanges, "3571" for electronic computers, "7372" for prepackaged software) to get its companies: CIK, name, ticker, state of incorporation and fiscal year end, 100 per page, companies with a ticker first. Get a company's own code from get_company or search_companies (sic). If you do not know the code, pass a word from the industry name instead ("software", "pharmaceutical", "bank", "oil") and you get the matching SIC codes with how many companies each has; then call again with the code you want. list_sic_codes shows the whole classification. SIC is the SEC's classification of the filer, assigned when it registers. It is not GICS or NAICS, individuals and most funds have none, and some codes are broad (e.g. 6770 "blank checks"). Args: industry: a SIC code like "6200", or a word to look up codes by ("software") query: with a code: only companies whose name or ticker contains this page: with a code: page number, 100 companies per page (default 1) listed_only: with a code: only companies that have an exchange ticker (default True). Set False to include the many dormant, delisted and asset-backed entities that carry the same code.

  ConnectorNo auth