Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Local fixed-sheet nesting for laser and CNC cutting: SVG/DXF import, nest, validate, export.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 skulitom 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.0)于24天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Signoff
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
In the frozen v1 benchmark, 8.5% less material at the median than the best of Deepnest, SVGnest and Sparrow at equal 60-second budgets, and 9.6% at 300 seconds, in the final benchmark run (fresh seeds, ten held-out jobs). Sparrow still wins 8 of the 56 jobs at 60 seconds (details, every number).
Free, open-source nesting for people who cut fixed sheets: laser cutters, CNC routers, plasma, waterjet, fabric and leather. Nestbolt arranges parts so they use the least material. It runs in your browser (nothing is uploaded), on the command line, and as an MCP server that AI agents can call.
Open the browser app · Download a release · Connect an AI agent
How Nestbolt compares with other ways an AI agent can nest parts (OpenNest, pyFit, Sparrow, Deepnest, SVGnest and more), by interface, file formats and sheet model: nesting for AI agents.
For LightBurn users without Pro: True Nest, Quick Nest and Nestbolt compared, with a measured run of the v0.2.0-alpha.1 preview nesting a layered .lbrn2 project onto a full sheet and two offcuts.
For laser makers: how many ornaments fit on a 12 × 12 inch sheet, measured for six designs, with ready-to-cut sheets; more in the examples.
[Try the v0.2.0-alpha.1 preview](https://github.com/skulitom/Nestbolt/releases/tag/v0.2.0-alpha.1) for editable LightBurn project nesting, lead-in allowances and improvements for large curved drawings. Windows x64, Linux x64 and macOS Apple silicon tools are available, plus the Windows MCP bundle. Their published-download checks pass. Import acceptance and common-line material use remain under development; the v1.1 plan is 60% complete. Stable v0.1.0 remains available.
The hosted browser app runs a preview build from main (newer than v0.2.0-alpha.1). The benchmark figures below belong to the frozen 75cbb32 build; this preview makes no new comparison against competing tools.
451 parts on one 850 × 425 mm sheet in 120 seconds on one CPU core: DejaVu Sans Bold glyphs in four sizes with their exact Bézier outlines, 90° rotations and 1 mm spacing. 29 letters sit inside the holes of others, and the unused material stays as one clean offcut along the top. The layout passed the independent validator. Rebuild it with python scripts/make_showcase.py --nest 120.
Final acceptance run (2026-10-13): 75 frozen sheet jobs (35 academic, 40 maker, ten of them held out from all tuning), equal time budgets, one CPU core per tool, five fresh seeds each, every layout checked by an independent validator. The comparison is against the best of Deepnest, SVGnest and Sparrow on each job, each with the better of its two settings.
| Budget | Valid Nestbolt layouts | Less material than the best competitor (median) | Wins or ties |
|---|---|---|---|
| 60 s | 375/375 | 8.5% | 48 of 56 |
| 300 s (long subset) | 60/60 | 9.6% | 11 of 11 |
At 60 s Nestbolt uses less material than Deepnest on all 55 jobs where Deepnest produced a layout (median 9.9%) and than SVGnest on all 36 (14.4%). Sparrow, which Nestbolt builds on, wins 8 jobs. Seven are one-sheet jobs that Nestbolt hands to Sparrow itself after its own first layout, so Sparrow runs with slightly less time there; it is 0.03-2.4% better on them. The eighth (two sheets) is 0.34% better. That misses the project's own 60-second bar (wins or ties on 90% of jobs and never more than 1% worse); the 300-second, strip-parity and speed bars are met (status).
One benchmark job exactly as nested in a 60-second development run (m-mechanical-frame-inserts, seed 0, sheet turned to landscape): 138 parts, all 39 inserts placed inside frame windows, everything packed into 56% of a 2440 × 1220 mm sheet so the rest stays one offcut. The best competitor used 62% of the sheet on this job.
In 30 s Nestbolt matches the competitors' 300 s result on 10 of 11 jobs. The first final run (build 484ce8b) stopped with an error on one job; the fix is in 75cbb32 and both runs are published. Every run, including failures, is in BENCHMARKS.md; status lists the evidence per gate. The results page shows every per-job number, tool revision, seed and the hardware; python scripts/reproduce.py --phase final --final-acceptance rebuilds the datasets, reruns what is missing and regenerates it.
.lbrn2 and legacy .lbrn): nest groups as rigid units and export an editable .lbrn2 per sheet, preserving original artwork, text, images and layer settings. Tool and output-disabled shapes stay fixed. Older text may need a separate native save to embed its outlines; mixed active/fixed groups need regrouping before nesting. Import messages explain cached text, bounding rectangles and missing curve controls. See LightBurn preparation..lbrn2 output. Export fidelity checks record the tested files and tolerances.web/): the same engine compiled to WebAssembly in Web Workers, automatic worker selection, a live view of the best layout, projects saved in the browser or as a ZIP, and five one-click examples. Files never leave the computer. An optional Quick initial layout setting helps start large jobs. Current browser checks and native comparisons are tracked in Status.import_parts, nest, validate_layout, export_layout and estimate_sheets, tested with Claude Code. Its budgets are repeatable: same build, inputs, work budget and seed give the same layout unless the real-time limit is reached, which is reported explicitly. See the agent interface.The engine builds on jagua-rs and sparrow by Jeroen Gardeyn and collaborators (arXiv 2509.13329). Fixed-sheet search lays the last sheets end to end as one walled strip and shrinks the last sheet with a port of Sparrow's separator; parts move between sheets and an emptied sheet disappears. Near-rectangular parts such as box panels also get a bounding- rectangle packing start. One sheet of hole-free parts without defects is exactly Sparrow's own strip-packing problem, where it is the state of the art, so there Nestbolt runs unmodified Sparrow for the rest of the budget.
Use the browser app without installing anything, or download native tools for Windows x64, Linux x64 or macOS Apple silicon from the v0.2.0-alpha.1 preview or stable v0.1.0. Each archive contains nestbolt, nestbolt-mcp and licences; download checksums are provided alongside it. The separate Windows MCPB bundle installs the server in Claude Desktop; see agent setup.
To build the development version, install Rust through rustup (the repository selects Rust 1.98.1):
cargo build --release -p nestbolt-cli -p nestbolt-mcp
Import parts, nest them for 30 seconds, and get per-sheet SVG/DXF files (examples/box-99x63x45.svg is the browser app's example box):
target/release/nestbolt import examples/parts.svg --output library.json
target/release/nestbolt nest --library library.json --request examples/nest-request.json --out-dir run --seconds 30
For drawings with larger gaps, import --close-gaps 0.05 explicitly repairs up to 0.05 mm and reports every repair's position and size. It is off by default; the silent join limit remains 0.005 mm. The UI and MCP expose the same option. See import options and reports. Lead reservations and contour starts are available in the browser, request JSON and nest --lead-in --kerf ...; see settings and LightBurn setup.
A request names library parts with quantities and the sheets in millimetres:
{
"parts": [{"id": "parts-1", "quantity": 4}, {"id": "parts-2", "quantity": 12, "rotations": {"kind": "free"}}], "sheets": [{"width_mm": 600, "height_mm": 400, "margins_mm": {"left": 5, "right": 5, "bottom": 5, "top": 5}}], "spacing_mm": 1.0, "edge_spacing_mm": 1.0 }
run/ then holds layout.json, report.json and sheet-0.svg/sheet-0.dxf and so on. Existing files are never overwritten. nestbolt export re-exports a layout; nestbolt validate checks a polygon job and layout. Add --repeatable to nestbolt nest or nestbolt sheets for a deterministic work budget instead of wall-clock time: the same inputs, budget and seed then give the same layout. On a machine much slower than the reference PC, --time-limit allows more real time for the same work (the default is --seconds). The optional --quick-start setting tries a conservative initial arrangement before impro
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