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Crossmatrix

de praxecversión 0.3.4i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.praxec/crossmatrix

Instalar

Resumen

Descripción del creador (original en inglés)

Multidimensional House of Quality (QFD) MCP server — cross-dimensional relationship matrices.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "crossmatrix": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/praxec/crossmatrix:0.3.4"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add crossmatrix -- docker run -i --rm ghcr.io/praxec/crossmatrix:0.3.4

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "crossmatrix": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/praxec/crossmatrix:0.3.4"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "crossmatrix": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/praxec/crossmatrix:0.3.4"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub praxec, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32461 servidores de esta categoría
  • Publicado en el registro más recientemente que el 72% de los otros 32461 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32461 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Crossmatrix?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.3.4) llegó al registro hace 15 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, dotnet-mcp

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado ayer
Instalar

dotnet-mcp

de Skymly

MCP server for .NET symbols, XAML, source generators, and restricted workspace edit

Se ejecuta en tu computadoraActualizado hoy
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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)
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.

Prebuilt binary (no Rust, Cargo, or Git required)
# Linux / macOS

curl -fsSL https://github.com/praxec/crossmatrix/releases/latest/download/install.sh | sh

Windows (PowerShell)

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:

OSArchTarget tripleAssetBuild supportRuntime smoke tested
Linuxx86_64x86_64-unknown-linux-gnucrossmatrix-mcp-x86_64-unknown-linux-gnu.tar.gznative CInative CI
Linuxarm64aarch64-unknown-linux-gnucrossmatrix-mcp-aarch64-unknown-linux-gnu.tar.gznative CInative CI
macOSx86_64x86_64-apple-darwincrossmatrix-mcp-x86_64-apple-darwin.tar.gznative CInative CI
macOSApple Siliconaarch64-apple-darwincrossmatrix-mcp-aarch64-apple-darwin.tar.gznative CInative CI
Windowsx86_64x86_64-pc-windows-msvccrossmatrix-mcp-x86_64-pc-windows-msvc.zipnative CInative CI
Windowsarm64aarch64-pc-windows-msvccrossmatrix-mcp-aarch64-pc-windows-msvc.zipnative CInative 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.

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
cargo build --release

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:

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.

CLI

CommandEffect
crossmatrix-mcpserve 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 / --helpversion / usage

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)
{"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"}}}

OpLayerPurpose
model.open—open (or create) state/ .json; survives restarts
model.status—version, store root, counts
scale.declareConfigurationobservation token → value table
relation.declareConfigurationfrom/to dimensions, relationType, scale, coveragePolicy
contraction.declareConfigurationa chain of relations for derived views
dimension.registerDimensionsan axis (dimensionKind is any snake_case word)
members.syncDimensionsupsert a roster; missing members are deprecated, not deleted; an unchanged roster is a no-op
member.proposeDimensionsadd one member
observeStatea token + evidence on a cell (never a number)
evidence.attachStateadd evidence to an observation
deprecateanyretire 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.

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. 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.

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.

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)

QueryFeatureWhat it does
assist.suggest {relationId, cells?, maxCells?, record?}jevFor 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}jevRanks candidate cells by Jev uncertainty (1 − confidence).
proposals {relationId?}—Lists proposed observations awaiting confirmation.
assist.members {dimensionId, sourceText, sourceUri?}rigProposes 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}rigA 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}.

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:

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).

SkillUse it for
crossmatrixthe method: Configuration / Dimensions / State, observation-only writes, the driver loop, scoped reads, .crossmatrix/
crossmatrix-hoqa classic House of Quality: weighted needs × characteristics, roof, technical importance, targets
crossmatrix-jtbdjobs to be done × user segments × journeys, joined by a contraction

| `crossmatrix

Solo se muestra el principio; lee el resto en el repo

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