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CutOptim Engine MCP server

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by cutoptim·io.github.cutoptim/engine·v0.1.0
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Cutting optimization: 2D panels, 1D bars, timber and true-shape nesting via the CutOptim API.

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CutOptim Engine tools (10)

write = sends, deletes, buys or posts
  • get_jobFree

    Free (needs the key that submitted the job). Reads an engine "max" job; when it succeeded, the plan is in result. Poll an async max-engine job. Fetch the status (and, when finished, the plan) of a job submitted with `engine: "max"`. A job is `queued`, then `running`, then `succeeded` (with `result` = the same response shape a synchronous solve of that `mode` returns, carrying `engine: "max"` — a 2D plan for `mode: "2d"`, a nest for `mode: "nest"`) or `failed` (with `error`). Polling spends no quota, but the key must still be usable: a revoked key or a lapsed API subscription is refused with 403 here exactly as it is on every other authenticated path. A caller sees only its own jobs — a job id belonging to another account is reported as 401 "job not found", indistinguishable from one that does not exist, so ids cannot be probed.

  • get_usageFree

    Free (needs an API key). Shows the plan, the calls used and left this month, and when the period ends. The account's current-month usage and quota. Read-only. Does not consume quota and does not send rate-limit headers. The period is the UTC calendar month.

  • optimize_1dFree

    Metered: one Engine API call. Cut lengths from bars, tubes, profiles or rolls and get the cutting pattern per bar. 1D / linear optimization (bars, profiles, tube). Cut parts of a given length from stock bars. Returns the rods used, the position of every part along each rod, the leftover length and the yield metrics.

  • optimize_2dFree

    Metered: one Engine API call. Cut rectangular parts from sheets (panels, plywood, glass, sheet metal) and get the layout, cut plan and yield. 2D panel optimization. Nest rectangular parts into rectangular sheets. Returns the placement of every part, the remaining offcuts, the guillotine cut plan and the yield metrics. Parts named in `matchedSets` (grain matching) are cut side by side from one piece of board, one kerf apart; each placed member says which set and position it is.

  • optimize_nestFree

    Metered: one Engine API call (needs an API key; not available with the demo key). Nest free-form polygon parts on sheets. True-shape (irregular / polygon) nesting. Pack ARBITRARY POLYGONS onto fixed sheets, letting parts interlock into each other's concave pockets — an L-bracket, a gasket, a laser-cut profile. This is a different class from the rectangular modes: a part is an outline (`polygon`, optional interior `holes`), not a width×height, so a bounding-box packer's notch-air is reclaimed. On a representative 272-part job it uses 6 sheets where the same parts by bounding box need 9 (−33 % material). Two things the rectangular API cannot express come for free here: per-sheet EXCLUSION ZONES (`stock[].exclusions` — a defect, a clamp footprint, a pre-printed area; a `quality`-0 zone is a no-go region for any part), and true-shape holes. Material partition (`material`) and the opaque `meta` passthrough work exactly as on the other modes. ⚠️ `density` is the placed POLYGON area over used sheet area — the honest fill, with concave pockets counted as empty. It is NOT comparable to a rectangular packer's `yieldPct` (which counts each bounding box as solid and so reads higher for a worse result); the cross-comparable metric is `sheetCount` on the same parts. A placed part carries the rigid transform (`rotation` in degrees, then `x`/`y` translation), NOT a re-emitted polygon: your input outline plus that transform reconstructs the placement exactly. Deterministic (a pinned seed); set `options.seed` to reproduce a layout. Engines: `lbf` (default) is synchronous and instant. Besides its own pass it tries the parts restricted to the right angles they allow, and their bounding boxes packed by an exact rectangle packer — which finds grids a sampling search misses (three 500-wide parts on a 1500-wide sheet at zero spacing) — and keeps whichever ranks best; on a tie, the plan that fills its sheets front to back, then the one with fewer parts off the right angles. `max` is ASYNCHRONOUS: the call answers **202** with a `jobId`, and you poll `GET /v1/jobs/{id}` for the result — the same response shape, with `engine: "max"`. It runs the `lbf` pass first and then a time-budgeted search (`options.timeBudgetMs`, default 60 s, 10–180 s) that fills sheets one at a time looking for a layout with FEWER sheets; it never returns more sheets than `lbf` would — nor a plan that ranks worse by the sheet-size ranking below — and says in `warnings` when it kept the `lbf` layout. Several sheet sizes per material and `respectStock` are modelled; a `polygon` sheet or `exclusions` (which its strip search cannot model) are served by the `lbf` pass inside the job, with a warning — never refused. `sparrow` is a deprecated alias of `max`. **Sheet sizes and cost.** With two or more stock rows for a material, both engines compare arrangements (your order, each row alone, cheapest-first) and then re-nest each sheet — the least-filled first — onto the cheaper or smaller rows, so a plan may MIX sizes (e.g. two large sheets and a small last one). Ranking: most must-cut (`priority`) parts placed → most parts placed → (with `minimizeCost`) lowest total price → least total sheet area → fewest sheets. `sheets[].stock` and `stockUsage[]` say which row each sheet came from. **Used area.** `sheets[].usedWidth` / `usedHeight` are the farthest extent of any placed part from the sheet origin (the corner the parts are packed into), `usedArea` their product, and `stockUsage[].usedArea` the sum per row — the numbers an ERP needs to charge a partial sheet (full sheet, a horizontal or vertical cut, or the bounding box; the charging rule stays yours). Both engines compact the least-filled sheet of each material: its parts are re-nested on the same sheet with rotation SUBSETS of what each part allows ({0,180}, {0,90,180,270}, a single orientation — never a new angle) and the variant with the smallest used area is kept; with `max` that sheet is then also re-packed by the search itself, along the sheet's height and (on a one-sheet plan) along its width, and the tighter layout is kept under the same rule. Sheet count, sizes, price and placed parts never change. `options.compact: false` returns the uncompacted layout, and `options.compactFor` (`box` · `horizontal` · `vertical`) picks the measure to minimise when you charge a full-width or full-height strip. `metrics.cutLength` / `sheets[].cutLength` is the summed perimeter of the placed parts' outlines and holes; `pierces` counts one per closed contour (no common-line cutting, lead-ins or micro-joints — your CAM adds those). **Parts from CAD files.** A part may carry `source` — an SVG or DXF document — instead of `polygon` coordinates; the server reads the outline (and its holes) out of the file with the same parser the CutOptim app uses. The file replaces ONLY the geometry, and the response then carries an `imported` block saying what the files contributed. One file describes ONE part; `POST /v1/import/nest` splits a multi-part drawing first. Nothing is stored: the bytes are parsed in memory and gone with the response. Because a drawing is far larger than a JSON parts list, this path accepts a **10 MB body** (the rectangular endpoints keep 1 MB), with per-file and per-request character caps on `source.content`.

  • optimize_woodFree

    Metered: one Engine API call. Cut timber parts grouped by cross-section from matching stock lengths. Timber optimization (cross-section-aware 1D). Cut lengths from bars that have a CROSS-SECTION. Unlike `/v1/optimize/1d`, where every bar can serve every part, a 50×150 part can only come out of 50×150 stock — so the job is split by cross-section, each section is matched to its own stock and solved separately, and the response carries both per-section and job-wide totals. Fanning the same job out into several `/v1/optimize/1d` calls is not equivalent: it costs one call per section against your quota, moves the stock matching to your code, and cannot distinguish "no material of this section" from "did not fit" — which this endpoint reports separately as `unmatched` and `unplaced`. `sw` and `sh` may be given in either order: 50×100 and 100×50 are the same bar turned over and are matched as one section. The response reports the normalised short/long form.

  • validate_1dFree

    Free, no key needed: checks a 1D request without solving it. Same arguments as optimize_1d (field descriptions there). Validate a 1D request — free, no key, no quota, no solve. Schema-validate the SAME body `/v1/optimize/1d` takes, WITHOUT solving or spending a call. See `/v1/validate/2d`.

  • validate_2dFree

    Free, no key needed: checks a 2D request without solving it. Same arguments as optimize_2d (field descriptions there). Validate a 2D request — free, no key, no quota, no solve. Schema-validate the SAME body `/v1/optimize/2d` takes, WITHOUT solving or spending a call. 200 `{valid:true, warnings}` (warnings flag parts that fit no stock — an approximate, solve-free probe), or 400 with the exact bad field path. Open like `/v1/health`: validate payloads during integration before you even have a key. The engine verdict matches the optimize path exactly, `engine: "max"` included: a body this endpoint accepts is one `/v1/optimize/2d` will accept, and one it refuses (400 for an option the max tier cannot model, 503 where that tier is not enabled) is refused there too.

  • validate_nestFree

    Free, no key needed: checks a nesting request without solving it. Same arguments as optimize_nest (field descriptions there). Validate a nest request — free, no key, no quota, no solve. Schema-validate the SAME body `/v1/optimize/nest` takes, WITHOUT solving or spending a call. Reports `engineEnabled` (whether the nesting engine is built into this deployment) and warns about parts whose bounding box fits no stock sheet. For `engine: "max"` the verdict matches the optimize path exactly: 400 for anything outside the preview scope, 503 where the async tier is not enabled, and otherwise a warning that the job will be asynchronous. See `/v1/validate/2d`.

  • validate_woodFree

    Free, no key needed: checks a timber request without solving it. Same arguments as optimize_wood (field descriptions there). Validate a wood request — free, no key, no quota, no solve. Schema-validate the SAME body `/v1/optimize/wood` takes, WITHOUT solving or spending a call. Warnings flag parts with no matching-section stock long enough. See `/v1/validate/2d`.

Public scan report

scanner v0.1.10 · 2026-10-25 · same rubric, same numbers if you re-run it

1 low
  • Code scan12 source files scanned25/25
  • Live reliabilityremote reachable in 1725ms20/20
  • Tool poisoning10 tool descriptions checked13/15
  • Auth qualityAPI key sent as a header8/15
  • Maintenancelast push 1 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10

Findings (1)

  • lowUnusually long tool description (over 2,000 characters)poison.long-description
    tool optimize_nest: …Metered: one Engine API call (needs an API key; not available with the demo key). Nest free-form polygon parts on sheets. True-shape (irregular / polygon) nesting. Pack ARBITRARY POLYGONS onto fixed sheets, letting parts interlock into each other's concave pockets — an L-bracket, a gasket, a laser-cut profile. This is a different class from the rectangular modes: a part is an outline (`polygon`, optional interior `holes`), not a width×height, so a bounding-box packer's notch-air is reclaimed. On a representative 272-part job it uses 6 sheets where the same parts by bounding box need 9 (−33 % material). Two things the rectangular API cannot express come for free here: per-sheet EXCLUSION ZONES (`stock[].exclusions` — a defect, a clamp footprint, a pre-printed area; a `quality`-0 zone is a no-go region for any part), and true-shape holes. Material partition (`material`) and the opaque `meta` passthrough work exactly as on the other modes. ⚠️ `density` is the placed POLYGON area over used sheet area — the honest fill, with concave pockets counted as empty. It is NOT comparable to a rectangular packer's `yieldPct` (which counts each bounding box as solid and so reads higher for a worse result); the cross-comparable metric is `sheetCount` on the same parts. A placed part carries the rigid transform (`rotation` in degrees, then `x`/`y` translation), NOT a re-emitted polygon: your input outline plus that transform reconstructs the placement exactly. Deterministic (a pinned seed); set `options.seed` to reproduce a layout. Engines: `lbf` (default) is synchronous and instant. Besides its own pass it tries the parts restricted to the right angles they allow, and their bounding boxes packed by an exact rectangle packer — which finds grids a sampling search misses (three 500-wide parts on a 1500-wide sheet at zero spacing) — and keeps whichever ranks best; on a tie, the plan that fills its sheets front to back, then the one with fewer parts off the right angles. `max` is ASYNCHRONOUS: the call answers **202** with a `jobId`, and you poll `GET /v1/jobs/{id}` for the result — the same response shape, with `engine: "max"`. It runs the `lbf` pass first and then a time-budgeted search (`options.timeBudgetMs`, default 60 s, 10–180 s) that fills sheets one at a time looking for a layout with FEWER sheets; it never returns more sheets than `lbf` would — nor a plan that ranks worse by the sheet-size ranking below — and says in `warnings` when it kept the `lbf` layout. Several sheet sizes per material and `respectStock` are modelled; a `polygon` sheet or `exclusions` (which its strip search cannot model) are served by the `lbf` pass inside the job, with a warning — never refused. `sparrow` is a deprecated alias of `max`. **Sheet sizes and cost.** With two or more stock rows for a material, both engines compare arrangements (your order, each row alone, cheapest-first) and then re-nest each sheet — the least-filled first — onto the cheaper or smaller rows, so a plan may MIX sizes (e.g. two large sheets and a small last one). Ranking: most must-cut (`priority`) parts placed → most parts placed → (with `minimizeCost`) lowest total price → least total sheet area → fewest sheets. `sheets[].stock` and `stockUsage[]` say which row each sheet came from. **Used area.** `sheets[].usedWidth` / `usedHeight` are the farthest extent of any placed part from the sheet origin (the corner the parts are packed into), `usedArea` their product, and `stockUsage[].usedArea` the sum per row — the numbers an ERP needs to charge a partial sheet (full sheet, a horizontal or vertical cut, or the bounding box; the charging rule stays yours). Both engines compact the least-filled sheet of each material: its parts are re-nested on the same sheet with rotation SUBSETS of what each part allows ({0,180}, {0,90,180,270}, a single orientation — never a new angle) and the variant with the smallest used area is kept; with `max` that sheet is then also re-packed by the search itself, along the sheet's height and (on a one-sheet plan) along its width, and the tighter layout is kept under the same rule. Sheet count, sizes, price and placed parts never change. `options.compact: false` returns the uncompacted layout, and `options.compactFor` (`box` · `horizontal` · `vertical`) picks the measure to minimise when you charge a full-width or full-height strip. `metrics.cutLength` / `sheets[].cutLength` is the summed perimeter of the placed parts' outlines and holes; `pierces` counts one per closed contour (no common-line cutting, lead-ins or micro-joints — your CAM adds those). **Parts from CAD files.** A part may carry `source` — an SVG or DXF document — instead of `polygon` coordinates; the server reads the outline (and its holes) out of the file with the same parser the CutOptim app uses. The file replaces ONLY the geometry, and the response then carries an `imported` block saying what the files contributed. One file describes ONE part; `POST /v1/import/nest` splits a multi-part drawing first. Nothing is stored: the bytes are parsed in memory and gone with the response. Because a drawing is far larger than a JSON parts list, this path accepts a **10 MB body** (the rectangular endpoints keep 1 MB), with per-file and per-request character caps on `source.content`.…
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How CutOptim Engine compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 75% of 48,255 servers
Tools
10
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
96%
of our recent checks; the typical remote server answers 100%
Response time
478 ms
faster than 31% of 30,031 servers
Downloads a week
179
more than 73% of 12,191 servers with a package

What its tools let an agent do: 10 read

Install CutOptim Engine in Claude Code, Cursor or VS Code

claude mcp add --transport http engine https://api.cutoptim.com/mcp
Add to Cursor

What the publisher says

From the CutOptim Engine repository's README, as published. We do not edit it. Read it on GitHub

CutOptim MCP server

Cutting optimization as tools for AI assistants: 2D panels, 1D bars, timber and true-shape nesting, through the CutOptim Engine API and the Model Context Protocol.

MCP guide · API reference · Get a free test key

Two ways to connect

Hosted (no install) — point your MCP client at https://api.cutoptim.com/mcp with the header Authorization: Bearer . Configurations for Claude Code, Cursor, VS Code and Claude Desktop are in the MCP guide.

Local (this package, stdio) — runs on your machine and calls the same API with your key:

{
  "mcpServers": {
    "cutoptim": {
      "command": "npx",
      "args": ["-y", "@cutoptim/mcp"],
      "env": { "CUTOPTIM_API_KEY": "co_test_YOUR_KEY" }
    }
  }
}

Claude Code: claude mcp add cutoptim --env CUTOPTIMAPIKEY=cotestYOUR_KEY -- npx -y @cutoptim/mcp

Node 18 or newer.

Tools

The arguments of each tool are exactly the request body of its endpoint — the schemas are generated from the OpenAPI document. Every result carries a short summary for the assistant and the API's JSON answer as structuredContent.

Quota and billing

One tool call is one Engine API call: the same key, quota, rate limits and billing as calling the REST API yourself. The client sends an Idempotency-Key with every optimize call, so its own retries are never charged twice.

License and support

MIT. This repository is published from the CutOptim monorepo; report a bug in Issues or write to support@cutoptim.com.

Nothing above is checked by us. What we check is on the safety report.

CutOptim Engine: common questions

Is CutOptim Engine MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the CutOptim Engine safety report
How do I install CutOptim Engine?
It runs remotely at api.cutoptim.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does CutOptim Engine need an API key?
Yes. The registry entry asks for CUTOPTIM_API_KEY, Authorization.
Is CutOptim Engine maintained?
The last commit was 11 days ago (2026-10-24). The latest release is v0.1.0.
Is CutOptim Engine up?
96% of our last 28 checks got an answer. We check remote servers about four times a day.
How does CutOptim Engine compare with other MCP servers?
safety score 88/100 (higher than 75% of 48,255 servers); tools 10 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.