Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Multidimensional House of Quality (QFD) MCP server — cross-dimensional relationship matrices.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"crossmatrix": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/praxec/crossmatrix:0.3.4"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add crossmatrix -- docker run -i --rm ghcr.io/praxec/crossmatrix:0.3.4In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"crossmatrix": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/praxec/crossmatrix:0.3.4"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"crossmatrix": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/praxec/crossmatrix:0.3.4"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto praxec bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.3.4) kam vor 15 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Zoo MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
An MCP server that provides access to the Zoo API for various CAD operations and tools.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
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