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)
Multidimensional House of Quality (QFD) MCP server — cross-dimensional relationship matrices.
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。
你需要
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"crossmatrix": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/praxec/crossmatrix:0.3.4"
]
}
}
}在终端中运行这条命令
claude mcp add crossmatrix -- docker run -i --rm ghcr.io/praxec/crossmatrix:0.3.4粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"crossmatrix": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/praxec/crossmatrix:0.3.4"
]
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"crossmatrix": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/praxec/crossmatrix:0.3.4"
]
}
}
}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6日
注册名称已通过 GitHub 账户 praxec 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(0.3.4)于15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 Docker。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Whisper
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.
One routable IPv6 per AI agent, verifiable from the DNS root. Keyless tools need no signup.
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。
Multidimensional House of Quality (QFD) — cross-dimensional relationship matrices for structured trade-off and requirement analysis. A Rust workspace: crossmatrix (engine) + crossmatrix-mcp (MCP server). Part of Praxec.
npx -y @matthew-cochran/crossmatrix --version
claude mcp add crossmatrix --scope user -- npx -y @matthew-cochran/crossmatrix
The @matthew-cochran/crossmatrix package is a small launcher: on first run it downloads the release binary for your platform, verifies it against the release's checksums.sha256, caches it, and runs it over stdio (signals are forwarded; stdout belongs to MCP). CROSSMATRIX_MCP_BINARY points it at a binary you installed yourself. The package also bundles the agent skills.
# Linux / macOS
curl -fsSL https://github.com/praxec/crossmatrix/releases/latest/download/install.sh | sh
irm https://github.com/praxec/crossmatrix/releases/latest/download/install.ps1 | iex
The installer resolves your OS and CPU architecture, downloads the matching release asset, verifies its SHA-256 against the release's checksums.sha256, extracts it safely, and atomically installs the binary into a user-local managed directory ($HOME/.local/bin on Linux/macOS, %LOCALAPPDATA%\Programs\crossmatrix-mcp on Windows). It never compiles from source and fails loudly on an unsupported OS/architecture.
Pin a specific release instead of the current latest stable:
curl -fsSL https://github.com/praxec/crossmatrix/releases/latest/download/install.sh \
| sh -s -- --version v0.3.1
The installer scripts are published as release assets alongside the binaries.
Or download the archive directly. Every release publishes a checksums.sha256 and a machine-readable release-manifest.json listing each target, asset, digest, version, and source SHA:
| OS | Arch | Target triple | Asset | Build support | Runtime smoke tested |
|---|---|---|---|---|---|
| Linux | x86_64 | x86_64-unknown-linux-gnu | crossmatrix-mcp-x86_64-unknown-linux-gnu.tar.gz | native CI | native CI |
| Linux | arm64 | aarch64-unknown-linux-gnu | crossmatrix-mcp-aarch64-unknown-linux-gnu.tar.gz | native CI | native CI |
| macOS | x86_64 | x86_64-apple-darwin | crossmatrix-mcp-x86_64-apple-darwin.tar.gz | native CI | native CI |
| macOS | Apple Silicon | aarch64-apple-darwin | crossmatrix-mcp-aarch64-apple-darwin.tar.gz | native CI | native CI |
| Windows | x86_64 | x86_64-pc-windows-msvc | crossmatrix-mcp-x86_64-pc-windows-msvc.zip | native CI | native CI |
| Windows | arm64 | aarch64-pc-windows-msvc | crossmatrix-mcp-aarch64-pc-windows-msvc.zip | native CI | native CI |
"Native CI" means each asset is built and its MCP initialize/tools/list handshake smoke-tested on that platform's own runner. No other CPU/OS combination is claimed; unsupported platforms are rejected rather than silently cross-compiled.
Re-run the installer to update. Only the binary in the managed install directory is replaced (atomically); application state and configuration live outside that directory and are never overwritten.
cargo build --release
produces the crossmatrix-mcp MCP stdio server.
.crossmatrix/crossmatrix keeps a model as three documents linked by stable id@version (ADR-0004), plus an append-only audit log, in a directory you commit:
crossmatrix-mcp init # creates .crossmatrix/ in the current directory
crossmatrix-mcp check # validates every document and cross-reference
.crossmatrix/ config/ @ .json # methodology: scales, relations, contractions dimensions/ @ .json # dimensions and their members state/ .json # cells/observations + revision audit/ .jsonl # one line per accepted mutation (merge=union)
Writes are canonical JSON (sorted keys, 2-space indent, trailing newline) and atomic, so diffs stay small. Findings are computed on every read and never stored. check exits non-zero with path-specific diagnostics (for example state/demo.json: cells[3].to: unknown member 'x' in dimension 'dim_part'); run it in CI.
The server finds its store from, in order: CROSSMATRIX_DIR, the nearest ancestor directory containing .crossmatrix/, $XDG_DATA_HOME/crossmatrix (or ~/.local/share/crossmatrix), then ./crossmatrix-state. model.status reports the resolved root.
| Command | Effect | |
|---|---|---|
crossmatrix-mcp | serve MCP on stdio | |
crossmatrix-mcp init [--dir D] | create D/.crossmatrix/ (idempotent) | |
crossmatrix-mcp check [--dir D] | validate the store; exit 1 on any problem | |
| `crossmatrix-mcp skills install --target (--project D \ | --user) [--dry-run] [--force]` | install the bundled agent skills |
| `crossmatrix-mcp skills uninstall --target (--project D \ | --user) / skills list` | remove / list installs |
crossmatrix-mcp --version / --help | version / usage |
Two MCP tools, crossmatrix.command (writes) and crossmatrix.query (reads). Every response, including a rejection, carries links to the legal next ops; a rejection's structuredContent is {ok: false, error: {code, message}, links}.
crossmatrix.command){"request": {"schemaVersion": "0.2.0", "requestId": "r-17", "modelId": "checkout",
"expectedVersion": 16, "actor": {"actorType": "llm", "persona": "observer"}, "op": {"kind": "observe", "relationId": "rel_need_char", "from": "need_fast", "to": "char_latency", "observation": "strong", "provenanceClass": "normative"}}}
| Op | Layer | Purpose |
|---|---|---|
model.open | — | open (or create) state/ .json; survives restarts |
model.status | — | version, store root, counts |
scale.declare | Configuration | observation token → value table |
relation.declare | Configuration | from/to dimensions, relationType, scale, coveragePolicy |
contraction.declare | Configuration | a chain of relations for derived views |
dimension.register | Dimensions | an axis (dimensionKind is any snake_case word) |
members.sync | Dimensions | upsert a roster; missing members are deprecated, not deleted; an unchanged roster is a no-op |
member.propose | Dimensions | add one member |
observe | State | a token + evidence on a cell (never a number) |
evidence.attach | State | add evidence to an observation |
deprecate | any | retire a member or relation (supersededBy) |
Observation-only: a numeric member weight is accepted only with sourceRef.system (a deterministic import), and a measuredValue only with provenanceClass: observed plus a sourceRef. expectedVersion is an optimistic lock; requestId makes a command idempotent, also across restarts. Each accepted mutation appends one audit line {ts, requestId, actor, op, beforeVersion, afterVersion, summary}.
The legacy one-call flow still works: a command carrying a full model imports it into the session (in memory) for the queries that follow.
crossmatrix.query)model.status, describe, slice, trace, explain, coverage, gaps.orphans, gaps.next, stale, conflicts, analyze.marginalize, analyze.contract, analyze.findings, validate, report, export.
report {relationId?} returns a Markdown House of Quality: weights, the relationship matrix, the correlation roof (a self-relation), technical importance, targets (attributes.target), coverage and findings with contributors. Without relationId it covers every relation.export {format: model|report|findings} returns the merged model JSON.conflicts {relationId?} lists valence-by-separation tensions and conflicts.trace and slice accept a member id or a sourceRef.uri, page with limit/cursor, and with rollup: true roll leaf observations up a contains hierarchy (a directory implements a feature if any file under it does).stale {hashes?, readFiles?} compares stored source hashes with current ones (readFiles hashes file:// sources inside the project) and returns the changed members plus every cell that references them, paged.Two optional cargo features add model-backed helpers. Neither is in the default build or the release binaries unless you build with them, both need an explicit opt-in and a key, and neither ever writes an analysis number: suggestions are recorded as *proposed* observations that count in no analysis until a human or LLM confirms the cell with an ordinary observe.
cargo build --release --features jev,rig
export CROSSMATRIX_ASSIST=jev,rig # explicit opt-in (or all) export TYPESAFE_JEV_API_KEY=... # or OPENROUTER_API_KEY (also used by rig)
| Query | Feature | What it does |
|---|---|---|
assist.suggest {relationId, cells?, maxCells?, record?} | jev | For each candidate cell (default: from gaps.next), asks Jev a choice question over the relation's scale tokens, with a compact state from the two members' labels, descriptions and evidence. Returns {cell, token, probabilities, confidence} per cell; record: true stores them as proposed observations by actor {classifier, jev}. |
gaps.next {rankBy: "uncertainty", relationId} | jev | Ranks candidate cells by Jev uncertainty (1 − confidence). |
proposals {relationId?} | — | Lists proposed observations awaiting confirmation. |
assist.members {dimensionId, sourceText, sourceUri?} | rig | Proposes new members from supplied text (README, interview notes, a competitor page), each with a verbatim excerpt and its character span. Never adds them; each comes with a ready member.propose payload. |
assist.narrative {relationId?} / report {narrative: true} | rig | A short narrative of analyze.findings for the report. |
Configuration: Jev uses https://api.typesafe.ai with jev-latest when TYPESAFE_JEV_API_KEY is set, otherwise OpenRouter with ~typesafe/jev-latest; override with CROSSMATRIX_JEV_BASE_URL, CROSSMATRIX_JEV_MODEL and CROSSMATRIX_JEV_TIMEOUT_SECS. Rig uses OpenRouter with CROSSMATRIX_RIG_MODEL (default openai/gpt-5-mini) and CROSSMATRIX_RIG_TIMEOUT_SECS. Calls are bounded (timeout, cells per call, token budget) and every response reports usage. Without the feature, opt-in or key, the query returns {ok: false, status: "assist_unavailable", reason, links}.
crossmatrix ships Agent Skills that teach an agent the method and common uses. Install them into a project (or --user) for one client or all:
npx -y @matthew-cochran/crossmatrix skills install --target claude --project .
crossmatrix-mcp skills install --target all --project . # .claude/skills + .agents/skills
Targets: claude, codex, cursor, copilot, gemini, agents-md, all. A .crossmatrix-skills.json manifest records file hashes, so re-installs update only files you have not edited (--force overwrites them) and uninstall removes only unmodified files. The installer never edits MCP configuration; it prints the registration command instead (claude mcp add crossmatrix --scope user -- npx -y @matthew-cochran/crossmatrix).
| Skill | Use it for |
|---|---|
crossmatrix | the method: Configuration / Dimensions / State, observation-only writes, the driver loop, scoped reads, .crossmatrix/ |
crossmatrix-hoq | a classic House of Quality: weighted needs × characteristics, roof, technical importance, targets |
crossmatrix-jtbd | jobs to be done × user segments × journeys, joined by a contraction |
| `crossmatrix
只显示了开头部分;其余内容请在仓库中阅读