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Saturday Materials

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Materials computing tools for AI agents: structures, engines, phonons, EOS, NEB, sampling, lineage.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "saturday-materials": {
      "command": "npx",
      "args": [
        "-y",
        "saturday-materials"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

Saturday —— 材料计算的插件运行时

CI Install on Smithery

简体中文 | English

Everything is a plugin。 Saturday 不是又一套材料计算引擎,不替代 DFT / MD / FEM / CFD 的任何求解器; 它是材料计算的组合层:引擎、结构源、工作流、分析工具全部以插件形态挂载到 DeepSeek Harness (dsh) / @deepseek-ai/cordis v4 运行时上,由 Agent 在运行时自由挂载、卸载与组合。

插件接口规范见 packages/bridge/docs/plugin-contract-v0.md(中文原本,英文摘要版同目录)。

核心范式

时空可组合性(Spatiotemporal Composability)

理论依据为 Cordis 配套论文:

A Programming Paradigm for Spatiotemporal Composability,Yifan Shi, Wei Zhang, Tianyi Cui, arXiv:2608.25512 [cs.PL](北京大学 / DeepSeek-AI)。

Saturday 把论文的两个正交维度落到材料计算域:

维度论文原义Saturday 的领域落点仓库中的形态
时间维组件副作用可完全逆置(可逆效应)研发过程是可挂起/分叉/回放的事件流;可逆的是研究决策,不是物理计算事件 → append-only Trajectory,逐变体溯源;trajectory.replay 回放重建索引
空间维依赖声明 + 反应式管理(响应式协效应)跨引擎/跨尺度能力按需激活联动引擎能力在 hello 握手声明,消费方按能力动态决策

材料计算 = 双通道事件流

各引擎(DFT/MD/FEM/CFD)的运行时行为投影为两类事件,Saturday 的总线只做路由不改物理:

  • 瀑布事件(因果链):弛豫步、SCF 迭代、MD 步进——传递"当前状态接力棒",全序、可回放,承载时间维;
  • 广播事件(一对多):收敛达成、能量异常、属性算出——多消费方订阅联动,承载空间维。

事件粒度因引擎而异(迭代级 ↔ 任务级),由能力握手显式声明。

原子化操作(Atomic Operations)

一切研发动作分解为可独立调用、自由组合的原语(relax / calculate / substitute …), 同一组原语同时暴露给 Agent 工具、DSL 与编程 API。原子性按作用域分级: 软件资源域完全可逆(cordis effect)、计算任务域幂等 + 可取消、物理设备域永不回滚。

活的材料上下文

材料上下文 = 瀑布事件累积器之上的响应式谱系图:每个导出量声明推导来源, 上游变化沿谱系自动传播失效与重算。推导登记簿(@toki0413/plugin-derivation) 是这一形态的运行时载体,已接入真实筛选工作流(势函数热替换沿引擎引用全链失效)。 掺杂操作 Material.substitute 的不可变 fork 语义保证谱系全程可追溯。

能力(v0.3)

能力工具说明
材料加载material.load化学式 → 结构(原型库,TiO2 多晶型可选)
分子结构源structure.fromSmilesSMILES → 3D 构象(RDKit ETKDG + MMFF/UFF 预弛豫)→ 非周期 Material(pbc=False);RDKit 缺失显式报错不降级
结构弛豫potential.relax周期性体系:ASE EMT 真实物理(UnitCellFilter + BFGS);分子体系(pbc=False):RDKit MMFF/UFF 力场引擎(体系-引擎自动匹配,错配显式拒绝);纯 Node 环境走零依赖 lj-js 引擎(LJ 玩具势)
掺杂筛选workflow.screen基体 + N 掺杂变体批量弛豫 → 能量排序 → 逐变体溯源;注入参考态后自动升级为严格形成焓 + 多组分凸包判据;支持多浓度扫描与共掺候选;采样候选可参与联合排序(能量证据 × 提议似然 → 重要性权重),证据源可扩展(凸包距离、理想混合熵等,注册表化接入)
MP 结构源structure.resolveMaterials Project 远端解析(@toki0413/plugin-mp,需 MP_API_KEY)
轨迹回放trajectory.replay从 append-only 事件流重建计算索引(@toki0413/plugin-replay)
势垒分析analysis.nebNEB 最小能量路径与过渡态势垒(@toki0413/plugin-neb)
状态方程analysis.eosBirch-Murnaghan(三阶)EOS 拟合(@toki0413/plugin-eos)
声子分析analysis.phononΓ 点声子:力注入式有限位移 + 声学和规则,频率/虚频/显式阈值稳定性判定(@toki0413/plugin-phonon)
候选采样sampler.perturb参考结构微扰采样(@toki0413/plugin-sampler-perturb)
OU 候选采样sampler.ouOrnstein-Uhlenbeck 参考结构采样:闭式转移核 + 精确提议似然;多锚点混合提案支持跨盆地探索(@toki0413/plugin-sampler-ou)
流采样sampler.flow仿射耦合流采样:双射输运映射 invertible:true + 换元公式精确似然,encode 反演回潜空间(@toki0413/plugin-sampler-flow)
采样回算闭环workflow.explore候选逐送入引擎回算验证后按能量排序(引擎是唯一 oracle,@toki0413/plugin-explore)
遍历对账workflow.ergodic采样系综平均 对 恒温 MD 时间平均;判定强度随采样器似然声明分级(@toki0413/plugin-ergodic)
构型自由能workflow.freeEnergy温度网格逐点恒温 MD + 热力学积分出构型自由能曲线;自由能零点(锚点)显式注入,支持谐波近似物理化(@toki0413/plugin-free-energy)
活性上下文derivation.*推导登记簿:导出量声明推导来源,失效沿推导图向下游传播,冻结结果只追加修正不重算(@toki0413/plugin-derivation)
锚点库sampler.anchor.*弛豫收敛结构自动入库(谱系必填)→ 检索 → 混合提案;支持落盘/回填、血缘审计、修复与触发判据对账(数据治理工具链)

MCP server:任意 MCP 宿主接入

上述工具面经 @toki0413/mcp-server 以 Model Context Protocol 全量暴露(31 工具, stdio 传输):Claude Desktop / Cursor / Cline 等任何 MCP 宿主零代码接入, 参数 schema 由各工具的契约声明直通,工具失败以 MCP isError 携带结构化错误码。

Terminal
npx @toki0413/mcp-server        # stdio;SATURDAY_DISABLE 可排除插件

宿主适配层边界:MCP server 只依赖 @toki0413/kernel 的无宿主引导 (bootstrapPlugins,cordis 的 import 收敛在 kernel 包内)与插件包, 插件本身对 MCP 无感知——防腐层纪律不变。

引擎插件矩阵(均接入 @toki0413/contract-tests 标准套件): emt-mock(核心,ASE EMT / LJ)、lj-js(零依赖纯 JS,玩具势教学档,优雅回退数据面)、lammps(批处理,粒度 job)、mace(ML 势,可用性预检)、ase(通用 ASE 计算器,自带 sidecar)。

EMT 能量零点为各元素平衡 fcc 晶体,energyPerAtom 近似形成焓。Cu 掺杂筛选实测: Cu3Pt (-0.10) < Cu3Au (-0.02) < Cu (0) < Cu3Ni (+0.01) < Cu3Ag (+0.02) eV/atom—— 有序化(Cu-Pt / Cu-Au)与相分离(Cu-Ni / Cu-Ag)倾向与实验冶金学一致。

环境矩阵

开箱即用:git clone → npm install 后,纯 Node 环境即可跑全部 12 个演示(无额外依赖)。 数据面形态随环境自适应,启动横幅如实呈报(非静默降级:回退引擎是显式注册的独立引擎)。

环境数据面 / 可用引擎说明
纯 Node(无 Python)lj-js(零依赖纯 JS,LJ 玩具势)全部演示可跑;精度为教学档(玩具势声明在先,参考态为引擎自洽参考非实验值)
+ Python ≥ 3.10 + ASE ≥ 3.22emt-mock(EMT 真物理)+ ase解锁 EMT 精度;sidecar 内缺 ASE 自动回退 LJ 玩具势(如实声明)
+ LAMMPS / MACElammps / mace生产级引擎接入;缺失时可用性预检如实报告(demo:availability)
+ 远程集群(SSH)sidecar 在远程执行站点配置 ~/.saturday/clusters.json + bridge.cluster 指定;连接失败显式上抛不回退本地(远程语义是算力选择)
  • Node ≥ 22(dsh 硬性要求;裸 cordis 测试可在 Node 20 运行)
  • Python 数据面依赖:numpy + scipy(仅升级精度时需要)
  • Windows 下默认使用 python 命令,可用 bridge.python 配置覆盖
  • pnpm

CI(数据面双档矩阵)

每次推送/PR 自动跑两档(.github/workflows/ci.yml),与上方环境矩阵一一对应:

档位环境验证目标
zero-deps纯 Node(不装任何 Python 依赖)开箱即用承诺:数据面优雅回退 lj-js,全量测试 + 演示冒烟 + 发布形态核验
full-fidelityNode + Python + ASE + scipyEMT 真物理精度档:真实弛豫/参考态/互转自检 + 摘要再生冒烟

两档跑同一份测试:套件内环境自适应(HAS_ASE/dataPlane 探测 + 显式 skip,诚实不静默); 真物理断言(晶格常数、严格形成焓、互转自检)仅在精度档执行,零依赖档如实跳过不伪造。

结构(npm workspaces)

Code
packages/
  kernel/                     # @toki0413/kernel —— 防腐层:全仓唯一接触 cordis 的文件
    src/cordis-adapter.mjs    #   SaturdayRuntime 接口 + append-only Trajectory
  core/                       # @toki0413/core —— 领域核心(零运行时依赖)
    src/material.mjs          #   Material 领域对象(谱系、视图、substitute 掺杂)
    src/potential.mjs         #   PotentialRegistry(引擎 seam + 评分路由 + 粒度门禁)
    src/structure-resolver.mjs#   结构解析 seam(原型库,含多晶型 + 7 种 fcc 金属)
    src/elements.mjs          #   元素表(Z/符号/电负性,化学式合成)
  python-bridge/              # @toki0413/python-bridge —— 通用 Python sidecar 客户端
    src/bridge.mjs            #   stdio JSON-lines,握手/超时/批量
    sidecar.py + adapters/    #   主 sidecar:按元素逐调用路由 ASE EMT / LJ 兜底
  contract-tests/             # @toki0413/contract-tests —— 契约测试套件(兼容性由测试承诺)
    src/index.mjs             #   structureResolver / potentialProvider / workflow / sampler / derivation
  bridge/                     # @toki0413/bridge —— dsh Bundle(saturday 主插件)
    src/saturday.plugin.mjs   #   cordis 插件入口 { name, apply }
    profiles/cordis.patch.yml #   挂载到 dsh profile 的示例
    docs/plugin-contract-v0.md#   Plugin Contract v0(插件契约,experimental)
plugins/                      # 插件生态(新插件必须过 contract-tests 套件)
  screening/                  #   @toki0413/plugin-screening —— 工作流:批量掺杂筛选
  mp-structure-source/        #   @toki0413/plugin-mp —— 结构源:Materials Project
  lammps/                     #   @toki0413/plugin-lammps —— 引擎:LAMMPS 批处理,粒度 job
  mace/                       #   @toki0413/plugin-mace —— 引擎:MACE ML 势,可用性预检
  ase/                        #   @toki0413/plugin-ase —— 引擎:通用 ASE 计算器,自带 sidecar
  lennard-jones/              #   @toki0413/plugin-lj —— 引擎:零依赖纯 JS LJ(优雅回退数据面,指纹 lj-js)
  replay/                     #   @toki0413/plugin-replay —— 分析:Trajectory 回放与索引重建
  neb/                        #   @toki0413/plugin-neb —— 分析:NEB 最小能量路径与势垒
  eos/                        #   @toki0413/plugin-eos —— 分析:Birch-Murnaghan 状态方程拟合
  phonon/                     #   @toki0413/plugin-phonon —— 分析:Γ 点声子(虚频与稳定性判定)
  sampler-perturb/            #   @toki0413/plugin-sampler-perturb —— 采样:参考结构微扰
  sampler-ou/                 #   @toki0413/plugin-sampler-ou —— 采样:OU 受控扩散 + 混合提案 + 锚点工具链
  sampler-flow/               #   @toki0413/plugin-sampler-flow —— 采样:仿射耦合流(可逆输运 + 换元精确似然)
  explore/                    #   @toki0413/plugin-explore —— 工作流:采样 → 回算闭环
  ergodic/                    #   @toki0413/plugin-ergodic —— 工作流:遍历对账
  free-energy/                #   @toki0413/plugin-free-energy —— 工作流:构型自由能曲线(热力学积分)
  derivation/                 #   @toki0413/plugin-derivation —— 活性上下文:失效传播与惰性重算

运行

Terminal
npm install             # workspaces:@deepseek-ai/cordis(peer)+ 全部 @toki0413/* 包软链
npm test                # 全部 workspace 测试
npm run summary         # 再生项目摘要(实跑全部包测试 + 提取契约实证表 → SUMMARY.md/.json)
node scripts/pack-check.mjs   # 发布形态核验(逐包 pack 干跑:版本一致 + files 白名单)

# 端到端演示(均无需 API Key,纯 Node 环境全部可跑:
# 无 Python 时数据面自动回退零依赖 lj-js 引擎,横幅如实呈报)
npm run demo --workspace @toki0413/bridge                    # 基础端到端
npm run demo:screening --workspace @toki0413/bridge          # 掺杂筛选(环境自适应:EMT 或 lj-js)
npm run demo:screening-ternary --workspace @toki0413/bridge  # 三元混掺筛选(多组分凸包判据)
npm run demo:concentrations --workspace @toki0413/bridge     # 多浓度/共掺扫描(非退化凸包包络)
npm run demo:freeenergy --workspace @toki0413/bridge         # 构型自由能曲线(恒温 Langevin MD + 谐波锚点)
npm run demo:cross-engine --workspace @toki0413/bridge       # 跨引擎对照(单位/指纹门禁)
npm run demo:availability --workspace @toki0413/bridge       # 引擎可用性预检
npm run demo:mixture-sampling --workspace @toki0413/bridge   # 多锚点混合采样(闭式似然重算 + 回算闭环)
npm run demo:anchor-guided --workspace @toki0413/bridge      # 锚点引导闭环(入库→检索→提案→回算→排序)
npm run demo:anchor-auto --workspace @toki0413/bridge        # 全自动锚点闭环(弛豫产物自动入库)
npm run demo:anchor-resume --workspace @toki0413/bridge      # 跨会话恢复(落盘→回填→续供,谱系不断)
npm run demo:agent --workspace @toki0413/bridge              # Agent 会话端到端(mock LLM,十个阶段)

挂载到 dsh(完整运行时)

Terminal
npm i @deepseek-ai/dsh                 # 需要 Node ≥ 22
export DSH_HOME=~/.dsh
dsh web --help                         # 首次运行自动初始化 web profile
# 1) 在 $DSH_HOME/profiles/web/package.json 的 dependencies 声明:
#    "@toki0413/bridge": "file:/path/to/Saturday/packages/bridge"
# 2) cd $DSH_HOME/profiles/web && pnpm install
# 3) 把 packages/bridge/profiles/cordis.patch.yml 的 - insert: 行写入 profile 的 cordis.patch.yml
dsh --profile web --dump-config        # 验证组合树包含 saturday 行
dsh web                                # 启动

Read the full README →View source on GitHub →

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Frequently Asked Questions about Saturday Materials

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "saturday-materials": { "command": "npx", "args": ["-y", "saturday-materials"] } }

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28Quality signal: Emerging · 28/100How this signal is calculated ▾
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Verified ownership8/20
Documentation & tools12/30
Adoption & activity1/15
Community engagement0/10

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