
Crossmatrix
io.github.praxec由 GitHub 账号 praxec 发布v0.3.4更新于 Oct 24, 2026
Multidimensional House of Quality (QFD) MCP server — cross-dimensional relationship matrices.
概览
Crossmatrix 是一个本地 MCP 服务器,用于多维质量屋(QFD)模型,让助手记录观测并读取矩阵、缺口与报告。
- 可以做什么
- 打开、查看并校验模型库,包括状态、描述、校验与导出
- 声明配置与维度:量表、关系、收缩、维度及成员名册
- 在单元格上记录观测与证据,弃用成员或关系,写入带版本与审计
- 读取分析结果:切片、追溯、覆盖率、孤立与下一步缺口、过期来源、冲突与发现
- 生成 Markdown 质量屋报告,或导出合并后的模型 JSON
- 在特殊构建中可选地让模型建议观测、新成员或叙述
- 适用场景
- 适合让助手协助构建和维护结构化的需求权衡分析,例如质量屋、待办任务、竞品对标、测试覆盖或风险矩阵,并把模型作为可审阅的文件保存在代码仓库中。
- 运行要求
- 以本地 stdio 进程运行;推荐用 npx 启动器安装,它会下载并校验平台二进制,或使用预编译二进制安装脚本。需用 init 命令创建模型库。可选的 AI 辅助功能需要特殊构建、显式开启以及 TYPESAFE_JEV_API_KEY 或 OPENROUTER_API_KEY 等密钥。
安装
在 SourceWeft 中
- 打开 控制台中的 Crossmatrix,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
crossmatrix
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.
Install
npm / npx (recommended for MCP clients)
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.
Prebuilt binary (no Rust, Cargo, or Git required)
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:
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:
"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.
Updates
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.
From source
produces the crossmatrix-mcp MCP stdio server.
Repo-committed models: .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:
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.
CLI
Tools
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}.
Writes (crossmatrix.command)
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.
Reads (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. WithoutrelationIdit covers every relation.export {format: model|report|findings}returns the merged model JSON.conflicts {relationId?}lists valence-by-separation tensions and conflicts.traceandsliceaccept a member id or asourceRef.uri, page withlimit/cursor, and withrollup: trueroll leaf observations up acontainshierarchy (a directory implements a feature if any file under it does).stale {hashes?, readFiles?}compares stored source hashes with current ones (readFileshashesfile://sources inside the project) and returns the changed members plus every cell that references them, paged.
AI assist (optional, off by default)
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.
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}.
Agent skills
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:
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).
Using it with Praxec
This is an MCP tool used by Praxec packs. The easiest way to get it — and a workflow pack that uses it — up and running is the one-command setup:
See the pack registry for this tool's provider coordinates (container image / release binary) and which packs depend on it.
Releasing
Maintainers: see docs/releasing.md (version bump, dev → main, tag, scripts/npm-release.sh, crates.io, rollback).
License
来源:README.md,提交 3555966
工具
0版本历史
4- v0.3.4最新Oct 22, 2026
- v0.3.3Oct 20, 2026
- v0.3.2Oct 16, 2026
- v0.3.1Oct 13, 2026
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