mfgcalcs
5,400+ manufacturing calculators plus live U.S. tariff, PMI, cost-index, wage, and forecast data.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"mfgcalcs": {
"url": "https://www.mfgcalcs.com/api/mcp"
}
}
}Remote-Endpunkte
https://www.mfgcalcs.com/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (17)
🟢search_calculators(query, limit)
Search MFG Calcs' library of 5,000+ manufacturing calculators (machining, molding, welding, OEE, cost estimating, energy, quality, maintenance, and more). Returns matching calculators with their tool slug for run_calculator. Try: {"query":"OEE"}
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "What to calculate, e.g. 'OEE' or 'injection molding cycle time'"
},
"limit": {
"type": "number",
"description": "Max results, default 10"
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢get_calculator(tool)
Get a calculator's inputs (labels, units, defaults, min/max) and formula before running it. requiresPositive marks a field whose documented minimum of 0 is really exclusive. Use the tool slug from search_calculators. Try: {"tool":"oee"}
Eingabe-Schema
{
"type": "object",
"properties": {
"tool": {
"type": "string",
"description": "Calculator slug, e.g. 'oee' or 'unit-cost'"
}
},
"required": [
"tool"
],
"additionalProperties": false
}🟢run_calculator(tool, inputs)
Run a manufacturing calculation. Provide inputs by field key or slugified label (see get_calculator); missing inputs use the calculator's documented defaults. Returns labeled results with units, the formula, and a citation URL that should be shared with the user. Inputs are checked against their documented min/max; an impossible value is refused by name. derivation.confidence grades the OUTPUT: "none" if any result row could not be computed. Try: {"tool":"oee"} (defaults fill every input)
Eingabe-Schema
{
"type": "object",
"properties": {
"tool": {
"type": "string",
"description": "Calculator slug from search_calculators"
},
"inputs": {
"type": "object",
"description": "Input values keyed by field key or label param, e.g. {\"availability\": 90}",
"additionalProperties": {
"type": [
"number",
"string"
]
}
}
},
"required": [
"tool"
],
"additionalProperties": false
}🟢lookup_tariff(query, limit)
Look up U.S. manufacturing import tariffs: HTS General/Special fields, informational Chapter 99 references, observed effective calculated-duty rate, eligible families' aggregate customs unit value, source shares, and named-source HHI floor with retained-board coverage. Search by keyword, family, or HTS code. Schedule fields and Chapter 99 references do not establish entry liability; unit value is not a transaction price. USITC reference data, not a customs ruling. Cite the returned url. Try: {"query":"steel"}
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Keyword, family key, or HTS code/prefix, e.g. 'bearings' or '8482'"
},
"limit": {
"type": "integer",
"description": "Max family matches, default 5; allowed range 1-10",
"minimum": 1,
"maximum": 10
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢get_index(index, filter, country, scheduleYear, points, ...)
Fetch a published MFG Calcs index, board, ledger, forecast, vintage, revision record, seasonal series, or HS-NAICS map. Tariff targets distinguish the tracked manufacturing panel's observed effective calculated-duty rate; origins are statistically associated with those reported Calculated Duties, not causes. The selected index's JSON Schema branch lists its accepted fields; unsupported, dependent, or conflicting fields return invalid params. Try: {"index":"get_state_cost_index","filter":"Ohio"}.
Eingabe-Schema
{
"type": "object",
"properties": {
"index": {
"type": "string",
"description": "Published target.",
"maxLength": 500
},
"filter": {
"type": "string",
"description": "Target selector; meaning depends on index.",
"maxLength": 500
},
"country": {
"type": "string",
"description": "Duty-free origin.",
"maxLength": 500
},
"scheduleYear": {
"type": "string",
"description": "Duty-free HTS year.",
"maxLength": 500
},
"points": {
"type": "string",
"description": "History: \"latest\", \"all\", or count.",
"maxLength": 500
},
"limit": {
"type": "string",
"description": "Rows: \"all\" or count.",
"maxLength": 500
},
"asOf": {
"type": "string",
"description": "Vintage cutoff (YYYY-MM-DD).",
"maxLength": 500
},
"artifact": {
"type": "string",
"description": "Revision artifact filter.",
"maxLength": 500
},
"since": {
"type": "string",
"description": "Revision cutoff (YYYY-MM-DD).",
"maxLength": 500
},
"naics": {
"type": "string",
"description": "Six-digit NAICS code for get_hs_naics.",
"maxLength": 500
}
},
"required": [
"index"
],
"additionalProperties": false,
"oneOf": [
{
"properties": {
"index": {
"const": "get_tariff_index"
},
"points": {}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "rank_landed_cost"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "reshoring_score"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_tariff_bill"
},
"points": {},
"limit": {}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "get_policy_premium"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_tariff_dollars_by_country"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_source_shift"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_tariff_effect"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_sourcing_diversification"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_import_price_movers"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_duty_free_routes"
},
"filter": {},
"country": {},
"scheduleYear": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_wage_board"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_forecast"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_forecast_accuracy"
}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "get_cost_pressure_index"
},
"points": {}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "get_input_cost_diffusion"
},
"points": {}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "get_supply_chain_fragility"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_state_cost_index"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_cost_pass_through"
}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "get_manufacturing_pmi"
},
"points": {}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "get_reshoring_break_even"
},
"filter": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"limit"
]
}
}
]
},
{
"properties": {
"index": {
"const": "get_tariff_action_ledger"
}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "get_eti_outlook"
}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "get_vintages"
},
"filter": {},
"asOf": {},
"limit": {}
},
"additionalProperties": false,
"dependencies": {
"asOf": [
"filter"
]
}
},
{
"properties": {
"index": {
"const": "get_revisions"
},
"filter": {},
"artifact": {},
"since": {},
"limit": {}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "get_seasonally_adjusted"
},
"filter": {}
},
"additionalProperties": false
},
{
"properties": {
"index": {
"const": "get_hs_naics"
},
"filter": {},
"naics": {},
"limit": {}
},
"additionalProperties": false,
"allOf": [
{
"not": {
"required": [
"filter",
"naics"
]
}
}
]
}
]
}🟢get_provenance
Get the MFG Calcs Provenance Manifest: the verifiable record for every branded index and ledger on the site. For each one it returns a SHA-256 of the committed artifact and of every committed public-data input it was built from, plus the generator that reproduces it and the page that renders it. Use this to VERIFY a number before quoting it: re-hash the committed artifact (integrity), re-run the named generator on the committed inputs (reproducibility), and read the git history (timestamp). Takes no arguments. The hashes prove the artifacts are intact and reproducible, not the correctness of the underlying government data. Cite the returned url.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢search_site(query, limit)
Search everything on mfgcalcs.com beyond calculators: 64 live economic data series (imports, prices, wages, energy), 57 tariff families, state cost data, calculator categories, and datasets. Returns typed matches with URLs to cite. Use search_calculators for the 5,000+ calculators themselves. Try: {"query":"industrial electricity price"}
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Anything: 'steel imports', 'fastener tariff', 'texas electricity'"
},
"limit": {
"type": "number",
"description": "Max matches, default 10, max 25"
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢get_whats_new
Get the daily what-changed digest for the newest data day, in one call with links deeper: every agency series that published a new reading, every agency value restated (derived signals that recomputed are listed separately by name), every projection graded against its printed actual, and the day's Market Wire editions. Designed to be the first call of an agent's day: if `date` hasn't advanced since your last look, nothing moved. Empty days are reported empty with the reason, never padded. Try: {}
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢get_receipts(series)
Get the append-only archive of Ed25519-signed data receipts: every value signed for a series within the rolling window (current + previous signing year), revisions retained, each entry carrying its claim, claimHash, signature, and keyId. Call with no series for the catalogue plus the keyId→publicKey map and the permanent yearly ledger URLs. Same engine as /api/receipts. Try: {}
Eingabe-Schema
{
"type": "object",
"properties": {
"series": {
"type": "string",
"description": "Series key, slug, title, or approved alias; omit for the catalogue."
}
},
"additionalProperties": false
}🟢get_freshness(series)
Get the freshness contract for MFG Calcs' live data: every series with its measured publishing cadence, latest period, age in days, and an honest state (current | due | stale | unknown). This is the number that decides 'answer from memory or call the tool' — and the cheapest way to know whether a re-sync is worth it. Derived from the committed data-status census; stale series are reported as stale.
Eingabe-Schema
{
"type": "object",
"properties": {
"series": {
"type": "string",
"description": "Series key, slug, title, or approved alias; omit for all series."
}
},
"additionalProperties": false
}🟡get_change_events(since, limit, series, artifact, type)
Get every published or revised observation in order with a cursor. Poll by offset instead of re-pulling series. Same engine as /api/events and the vintage archive.
Eingabe-Schema
{
"type": "object",
"properties": {
"since": {
"type": "string",
"description": "Non-negative integer offset from a previous page's cursor; omit to start at 0"
},
"limit": {
"type": "string",
"description": "Page size (bounded server-side)"
},
"series": {
"type": "string",
"description": "Series key, slug, title, alias, or archive key."
},
"artifact": {
"type": "string",
"description": "Artifact filter, e.g. 'econData'."
},
"type": {
"type": "string",
"description": "'published' or 'revised'"
}
},
"additionalProperties": false
}🟢get_citation(dataset, accessed)
Get a ready-to-paste citation for an MFG Calcs dataset — including, for vintage-tracked datasets, the ?asOf= URL that returns the numbers exactly as they read on the access date, so the citation stays checkable after revisions instead of rotting. Carries a stable site identifier rather than a DOI; none has been minted for this collection yet, and the payload says so. Call with no dataset for the catalogue of citable datasets. Same engine as /api/cite.
Eingabe-Schema
{
"type": "object",
"properties": {
"dataset": {
"type": "string",
"description": "Dataset id from the catalogue; omit to list what is citable"
},
"accessed": {
"type": "string",
"description": "ISO date (YYYY-MM-DD) the data was accessed; defaults to today"
}
},
"additionalProperties": false
}🟢get_vintages(series, asOf, limit)
Get the MFG Calcs Vintage Archive: reproduce what a series said on a past date, before later revisions. Use series + asOf (YYYY-MM-DD) for the historical snapshot, series alone for its revision trail, or omit both for the catalogue. Multiple entries for one period indicate revision. Cite the returned url.
Eingabe-Schema
{
"type": "object",
"properties": {
"series": {
"type": "string",
"description": "Series key, slug, title, approved alias, or archive key; omit for the catalogue.",
"maxLength": 500
},
"asOf": {
"type": "string",
"description": "ISO date (YYYY-MM-DD). Returns the series as it stood on that date, ignoring every revision published since.",
"maxLength": 500
},
"limit": {
"type": "string",
"description": "Max observations to return.",
"maxLength": 500
}
},
"additionalProperties": false,
"dependencies": {
"asOf": [
"series"
]
}
}🟢get_revisions(series, artifact, since, limit)
Get every restatement of a published figure with its old value, new value, and first-known date. Filter by series, artifact, since, or limit; omit filters for the full record and per-series revision summary. Use it to judge whether a recent print needs a revision caveat. Cite the returned url.
Eingabe-Schema
{
"type": "object",
"properties": {
"series": {
"type": "string",
"description": "Series key, slug, title, approved alias, or archive key. Unknown or ambiguous values are errors.",
"maxLength": 500
},
"artifact": {
"type": "string",
"description": "Artifact name to scope the record to.",
"maxLength": 500
},
"since": {
"type": "string",
"description": "ISO date (YYYY-MM-DD); only later revisions.",
"maxLength": 500
},
"limit": {
"type": "string",
"description": "Max revisions to return.",
"maxLength": 500
}
},
"additionalProperties": false
}⚪optimize_sourcing(suppliers, demand, maxSharePct)
Solve the cheapest legal supplier mix as a real linear program: given candidate suppliers with unit costs, tariff rates, freight and capacities, return the exact cost-minimizing allocation under a demand requirement, per-supplier capacity limits, and an optional diversification cap on any one supplier's share. Solved by HiGHS, the open-source solver inside SciPy, so this is the PROVEN optimum with dual prices, not a heuristic ranking. Answers 'how should I split this volume?', 'what does the diversification cap actually cost me?', and 'which supplier's capacity is the binding constraint?'. Pass suppliers as a JSON array of objects with name and unitCost, plus optional tariffPct, freightPerUnit and capacity; landed cost per unit is unitCost x (1 + tariffPct/100) + freightPerUnit. Call it with no arguments for the parameter documentation and a runnable example. The LP text is echoed back so the run is reproducible. Cite the returned url.
Eingabe-Schema
{
"type": "object",
"properties": {
"suppliers": {
"type": "string",
"description": "JSON array, e.g. [{\"name\":\"vietnam\",\"unitCost\":9.8,\"tariffPct\":8,\"freightPerUnit\":1.1},{\"name\":\"domestic\",\"unitCost\":12.5,\"freightPerUnit\":0.4,\"capacity\":700}]. Omit for usage docs."
},
"demand": {
"type": "string",
"description": "Total units to allocate, e.g. '1000'."
},
"maxSharePct": {
"type": "string",
"description": "Diversification cap: the most any single supplier may take, in percent, e.g. '60'."
}
},
"additionalProperties": false
}⚪ask(query, context, detail)
Answer manufacturing questions from committed data; deterministic, no LLM. Missing subjects and product ties ask for clarification. Calculators collect required inputs, retain corrections via `context`, and run when complete; defaults appear only in explicit worked examples. Statistics name period, frequency, scope and measure. `detail`: `answer` is compact, `evidence` adds scoped evidence and calculator guidance, `full` is default. Pass returned `context` for follow-ups. Shared by MFGChat, MFGSearch and `/api/answer`. Cite resolved sources. Try: {"query":"OEE","detail":"evidence"}
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "A full question, e.g. 'tariff on fasteners' or 'diesel price'"
},
"context": {
"type": "string",
"maxLength": 1024,
"description": "Optional. The `context` string from a previous ask response. Pass it to ask a follow-up: 'and what about vietnam' or 'why did it go up' then resolve against the earlier subject instead of being answered on their own."
},
"detail": {
"type": "string",
"enum": [
"answer",
"evidence",
"full"
],
"default": "full",
"description": "Response depth. `answer` is compact; `evidence` adds scoped evidence and adjacent facts; `full` preserves the compatibility-default forensic payload. Defaults to `full`."
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢brief(situation)
Describe a SITUATION rather than a question and get every fact bearing on it, each answered and cited. `ask` for one figure, `brief` for a decision. Names what it could not establish. Try: {"situation":"sourcing bearings from china"}
Eingabe-Schema
{
"type": "object",
"properties": {
"situation": {
"type": "string",
"description": "In plain words: 'importing $250,000 of aluminium from vietnam'."
}
},
"required": [
"situation"
],
"additionalProperties": false
}Community
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