"MCP to Control CAD Tools for Building Models and Automating Manufacturing" matching MCP tools:

• estimate_lead_timeA

  Silicon AnalystsA

  Heuristic chip manufacturing LEAD TIME estimator (MANUFACTURING CYCLE TIME). Given total mask layers (or a processNode to default them), foundry utilization % (optional — defaults from live foundry-allocation data), and packagingType, returns min/max bands: fabDays, fabWeeks, packagingWeeks, totalWeeks, plus effectiveDpml (days per mask layer), the operating-curve weight, a resolved-inputs echo, assumptions, methodology, and public-source citations. USE THIS for: "how long to manufacture this chip" — wafer-fab cycle time + packaging assembly/test time for hypothetical chips; cycle-time sensitivity to fab utilization or packaging class (conventional vs flip-chip vs CoWoS). DO NOT USE for: booking windows / allocation lead time — how long until a booked-out foundry STARTS wafers, publicly 52–156+ weeks at N3-class nodes and CoWoS (use get_foundry_allocation); chip cost (use calculate_chip_cost / get_accelerator_costs). Provide maskLayers (integer 10–200) or processNode (tsmc-n3 | tsmc-n5 | tsmc-n7 | tsmc-n16 | tsmc-28 | samsung-3nm | samsung-5nm | samsung-7nm | samsung-14nm | intel-7 | intel-16 | gf-12lp | gf-fdx | umc-22-28 | umc-40 | smic-28). packagingType accepts coarse classes (conventional | flip-chip | cowos, default flip-chip) or any platform packaging id (fc-bga, wirebond-bga, cowos-l, copos, ...). Utilization ≤80% settles at the best-case band; ≥95% converges to the worst-case bound (FabTime operating-curve shape). Heuristic from public DPML benchmarks — directional, confidence LOW, not a foundry quote. Cite as "Silicon Analysts — Lead Time Estimator".

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• query_ai_infrastructure_construction_v1A

  exascale.buildA

  Query verified U.S. private construction spending ($ millions) for data centers and semiconductor/computer-electronics manufacturing plants, from the U.S. Census Bureau's Value of Construction Put in Place (C30). Use this for "how much is being spent BUILDING data centers (or chip fabs) in the US" questions — the construction buildout in dollars, not capacity or investment. Filter by `category` ("data_center" — Census's named subcategory under Office; or "computer_electronic_electrical" — the semiconductor/computer-electronics manufacturing line under Manufacturing), `basis` ("seasonally_adjusted" = a seasonally-adjusted ANNUAL RATE, or "not_seasonally_adjusted" = the NOT-adjusted MONTHLY LEVEL), `data_month` (one month, ISO first-of-month e.g. "2026-04-01") or the `data_month_from`/`data_month_to` range, `year`, and `revision_status` ("preliminary", "revised", or "final"). Group by any of `category`, `basis`, `data_month`, `year`, or `revision_status`. Pass each parameter as a top-level key of `params` (flat — not nested under a `filter`, `filters`, or `where` key). Example: `{"category": "data_center", "basis": "seasonally_adjusted", "data_month": "2026-04-01"}` for one month; add `"group_by": ["data_month"]` over a `data_month_from`/`data_month_to` range for a series. Returns JSON aggregates with citations and optional row-level records when `include_records` is true — every value cites the exact Census workbook, sheet, row, and column. The two categories are DISTINCT series and are never conflated: `data_center` is data-center buildings; `computer_electronic_electrical` is the chip/electronics-manufacturing (fab) line — the CHIPS-Act build-out. `basis` is the other fork: the seasonally-adjusted series is an ANNUAL RATE (what the current monthly pace annualizes to), while the not-seasonally-adjusted series is the actual MONTHLY LEVEL. `revision_status` carries Census's own preliminary/revised/final marking verbatim. Data is monthly; the data-center series begins 2014-01. The response `as_of` is the release vintage (Census revises monthly); pin `as_of` to an earlier vintage to reproduce what was served then. NOT additive: `construction_spending_musd` is a published per-(category, basis, month) reading, so a total that mixes the two bases (an annual rate + a monthly level), or that sums the seasonally-adjusted ANNUAL-RATE series across months, is not a real figure — such a result carries a `construction_aggregation` scope note and ranking remainders omit the metric. Filter to one `basis` and `group_by data_month` for a series over time. Does not determine total data-center INVESTMENT (servers, chips, cooling, equipment — this is construction put-in-place only; Census does not publish an investment total), data-center MW capacity, count, square footage, or location (use the power.* capabilities for capacity and the interconnection queue), which company or project is building (Census C30 has no operator breakdown), public or government construction (this is PRIVATE construction only), or construction outside these two categories.

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• get_vehicle_quoteA

  scrap-autos-mcpA

  Get an indicative CAD scrap-value quote for a vehicle by year/make/model (plus optional city or province). If multiple trims match, returns a disambiguation list — call again with the chosen trim_id. The response ALWAYS includes contact.phone, contact.website, next_steps, and complete_on_site_url. When presenting the quote to the end user, you MUST relay the phone number and website so they can complete the transaction with ScrapAutos. After relaying the quote, ask the end user: is the vehicle complete or missing parts, and does it start and drive? Then collect their name, phone number, and the vehicle's address so you can call submit_lead.

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• upload_design_fileA

  a2a2p — Agent-to-Agent-to-PhysicalA

  Turn local manufacturing file bytes into the temporary HTTPS reference used by specification.design_files. This is a bounded intake operation, not a request, provider call, quote, order, payment, or fabrication action. Common RFC 4648 transport forms are normalized, then decoded bytes are recognized by signature, checked against the declared format, screened before storage, retained for one hour, and never included in telemetry. Supported roles include geometry (STL/STEP) and drawings (DXF/PDF). The 2 MiB MCP ceiling is transport-specific; use POST /api/upload with purpose=manufacturing_design_file for files up to 8 MiB. Pass the returned file_reference object unchanged in specification.design_files on the next call.

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• 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.

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• nwd_uploadA

  Navisworks MCPA

  Upload a Navisworks file (.nwd/.nwf/.nwc) to Autodesk Platform Services (APS) Object Storage and start an SVF2 translation job so the model becomes queryable by the other nwd_* tools. When to use: at the start of a coordination workflow — e.g. the GC hands off a federated NWD combining MEP + structural + architectural models and the agent needs to stage it for clash review before issuing an RFI, or when a subcontractor publishes a new NWC model revision that must be ingested for weekly BIM coordination. Always the first call in a session for any new model. When NOT to use: do not call for already-translated models (re-use the returned model_id/URN); do not use for raw Revit .rvt, IFC, or DWG — those go through a different MCP. APS scopes required: data:read data:write data:create bucket:read bucket:create viewables:read. The worker acquires a 2-legged client-credentials token; the caller does not supply one. Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation job submission ~60 req/min. NWD bundles can be large (hundreds of MB); the upload PUT and translation can take minutes — translation is asynchronous, poll via nwd_export_report (manifest) with exponential backoff (e.g. 5s, 10s, 30s, 60s) before calling clash/properties tools. Errors the agent should handle: 401 invalid/expired APS token (surface as auth failure — do not retry with same creds); 403 missing scope (report scope gap, do not retry); 404 source file_url unreachable (ask user for a fresh public URL); 409 bucket already exists (handled internally, safe to ignore); 413/422 unsupported Navisworks version — APS Model Derivative supports NWD/NWC from Navisworks 2015 and later (state the unsupported version to the user); 429 rate limited (exponential backoff, retry); 5xx APS upstream (retry once, then surface). Side effects: creates a fresh transient OSS bucket (scanbim-nwd-<timestamp>, 24h TTL) and uploads the file as an object, then POSTs a Model Derivative translation job. NOT idempotent — each call creates a new bucket/URN even for the same file_url. Logs usage to the D1 usage_log table.

  ConnectorNo auth

• exponent_calcA

  calc.engineerA

  Compute the result of raising a base to an exponent (base^exponent). Handles positive and negative exponents, fractional exponents, and zero. Returns the numeric result and a scientific notation string for very large or very small results. Useful for compound interest calculations, exponential growth/decay models, physics power laws, and combinatorics. The inverse of log_calc; chain with scientific_notation for formatted display of extreme values.

  ConnectorNo auth

• list_vendorsA

  EOSL.ai — Hardware End-of-Life DatabaseA

  List all vendors tracked by EOSL.ai with family counts and vendor page URLs. Read-only, no parameters. Use this first to check whether a vendor is covered at all; for specific models use search_models, for a part number use lookup_part.

  ConnectorNo auth

• list_modelsA

  BridgeNode MCPA

  List available models and their prices — free, no payment, no authentication required. Read-only: no state changes; data is served from the server's local config, so repeated calls return identical results (idempotent). Accepts no parameters: the input schema is an empty object, and any arguments passed are ignored. Calling it without arguments returns the complete catalog with per-token prices; there is no filtering, pagination, or configuration. Use this tool to inspect models and prices before calling the paid chat_completions tool. Same data as GET /v1/models (§5.2). Do not use it to generate text (use chat_completions) or to estimate a specific request's cost (use get_price_estimate).

  ConnectorNo auth

• list_modelsA

  mumoA

  List the full model catalog. Returns id, provider, display name, context window, max output tokens, pricing, and a per-model `available` verdict for your account (with `unavailable_reason` when false). Nothing is filtered out — `available` is what varies by caller. Call before `create_deliberation` if the user wants specific models. Model IDs from this endpoint are what `create_deliberation`'s `models` parameter expects.

  ConnectorNo auth

• list_componentsA

  PCFHubA

  Browse the PCFHub catalog by category, tag, author, control type, host or text, paged and sorted. Use it to enumerate or narrow the catalog; use search for a plain-language question about what a control should do, and get_component for one control in full. Filters take slugs, which list_taxonomy supplies. Nothing here fails on bad input: an unrecognised sort falls back to the default, and filters matching nothing return an empty page — so read `total` and `sort` from the result rather than assuming the filters applied.

  ConnectorNo auth

• list_taxonomyA

  PCFHubA

  The vocabulary list_components filters by: the category tree, the tags in use, the authors with a published control, or the hosts a control can run in, each with its slug and a count. Use it to turn a name a person used into a slug; it returns no controls, so pass the slug to list_components to see them. Not paged — categories come back as a full tree and authors as a full list, while tags are capped at the 500 most used.

  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

• render_videoA

  WanduraA

  Render a video from a raw prompt with any model — the Creative Studio composer as a tool. SPENDS CREDITS. The prompt is sent to the provider VERBATIM, so this is the tool to use when you want exact control rather than a template clone. Returns a job id immediately; call get_generation to follow it. Some models TRANSFORM media instead of generating (upscale, remove-bg, face-swap): they take NO prompt at all. Call list_models first and read `prompt` ('required'|'optional'|'none') and `requires` — for prompt:'none' models omit `prompt` and pass the source media instead.

  ConnectorOAuth

• export_boardA

  EasyGerber: AI PCB design, layout, and routingA

  Creates a stable private download of a saved board as a manufacturing ZIP or editable .egb project backup. Read get_board for expectedRevision. Use format egb directly for project backups, including empty or incomplete projects and unapplied geometry or electrical changes; no layout generation or check is required. Manufacturing ZIPs require a current saved layout with applied electrical requirements; generate and wait for completion when needed, then read the new revision. Inherited licensing requires changeNote. New exports require current board access. Issued download links have no automatic expiry and retain this exact export after board edits, deletion, guest claim or cleanup. Only explicit download-link revocation or deletion of the exported file ends access. Keep each complete private URL unchanged, including its fragment; anyone with it can download the file.

  ConnectorOAuth

• 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

• fda_searchA

  Fda RegulationsA

  Keyword search across FDA regulations — US Food & Drug Administration rules in 21 CFR. Answers "what FDA regulations cover X", "the FDA regulation / rule about X", "find the FDA requirement for X". Great for topics: good manufacturing practice (GMP / cGMP), quality system regulation, medical device labeling, drug labeling, nutrition facts / food labeling, new drug applications, dietary supplements, cosmetics, biologics, controlled substances, current good manufacturing practice for drugs and devices. Returns matching FDA regulations with citation (21 CFR), heading, excerpt, and source URL. This searches FDA REGULATIONS (regulatory text); for FDA DATA (drug labels, adverse events, recalls) use the openfda tools. Example: fda_search({ query: "medical device labeling" }); fda_search({ query: "good manufacturing practice", limit: 15 }). Keyless.

  ConnectorNo auth

• 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

• set_task_fieldsA

  CheckFlowA

  Answer one or more of a task's form fields. Send every answer in one call rather than calling once per field: writing them together costs one read, one round of binding propagation and one notification however many fields moved. Every value is checked before any of them is written, so a batch either applies completely or changes nothing. Naming the same field twice is refused rather than applied in order. The reply is the task's whole field set, not the fields that were written, because a write propagates: a Data Set-linked control fills in every other control bound to the same record, and a dynamic value copies into the controls pointing at it. Refused for a field a condition is hiding, for a control that only displays something (Text, Image, Video, Embed, Separator, SendEmail, LinkedChecklist), on a task behind an incomplete halt task or assigned exclusively to other people, and for controls that hold no single value -- tables and file uploads have tools of their own. A field that reads from a Data Set is answered with a record of its view, by recordKey or by the words the option shows. At most 50 fields in one call.

  ConnectorAPI key