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Dmcheck

de chaoz23versión 0.5.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.chaoz23/dmcheck

Instalar

Resumen

Descripción del creador (original en inglés)

Deterministic conduct verdicts for live tabletop sessions - CI for running a game.

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

  • PyPIuv de Python instalado (para el comando uvx)

¿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": {
    "dmcheck": {
      "command": "uvx",
      "args": [
        "dmcheck"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add dmcheck -- uvx dmcheck

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "dmcheck": {
      "command": "uvx",
      "args": [
        "dmcheck"
      ]
    }
  }
}

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": {
    "dmcheck": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "dmcheck"
      ]
    }
  }
}

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 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub chaoz23, 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 32568 servidores de esta categoría
  • Publicado en el registro más recientemente que el 20% de los otros 32568 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32568 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 Dmcheck?

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 (0.5.1) llegó al registro hace 3 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, FlyDocs

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

FlyDocs

de flydocs.ai

Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.

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.

dmcheck

Deterministic conduct verdicts for live tabletop sessions — CI for running a game.

Feed it a session transcript (and optionally an engine event ledger) plus a table charter, and it returns named findings — the player whose question was never answered, the dice roll nobody acknowledged, the turn that began without anyone being told, the spoiler that leaked into the channel, the five-minute dead air. Every finding cites the charter rule it violates, with the evidence attached.

Agents start here → [SKILL.md](SKILL.md) — when to call this, worked examples, MUST/MUST NOTs. Family contract: FAMILY.md.

Cold-boot probe (2026-07-24): a fresh agent session given only this repo URL installed and refereed a session in 2 commands, verified all three exit-code legs against the docs, and confirmed the no-false-accusation contract held (a consumed roll produced silence). Its friction notes shipped as 0.1.1 (--dice-bot, dmcheck charter).

The design contract: a false accusation is the unforgivable bug. Only source-observed evidence becomes a definite finding. Legacy ambiguity is either silent or explicitly labeled severity: advisory, provenance: inferred, confidence: low; it is never promoted by R8 or sent to a notification hook. The verdict path is model-free and deterministic: same transcript, same findings, every time.

30 seconds to a refereed session

$ pip install dmcheck          # stdlib only, no dependencies

$ dmcheck run session.jsonl --gm "Greta" { "result_schema_version": "1.0", "status": "findings", "exit_code": 1, "mode": "closed", "messages": 9, "findings": [ {"finding_id": "r2-…", "rule": "R2", "summary": "unconsumed-roll: a dice result got no correlated GM narration within threshold", "charter": "roll_ack_within_messages=4; correlation=explicit", "detail": "dice result from DiceBot received no correlated GM narration within 4 messages", "evidence": {"index": 6, "author": "DiceBot", "obligation_id": "roll-42"}, "status": "open", "severity": "finding", "provenance": "observed", "confidence": "high", "charter_digest": "sha256:...", "effective_policy": {"roll_ack_within_messages": 4, "...": "..."}}, ... ], "counts": {"R1": 1, "R2": 1, "R6": 1, "R7": 1, "R8": 1} }

Portfolio hosts that emit table-kit's versioned contract can use dmcheck run-events session-events.jsonl --gm "gm-dan" instead of pre-projecting a transcript. The strict adapter accepts a JSON array or JSONL of table.event/1.0 objects and preserves event/correlation IDs in finding evidence. A declared action is not treated as an authoritative engine resolution, so legal Reactions and interrupts are not falsely accused. Transport gaps, unknown versions/types, and zero-compatible streams return typed incomplete status and exit 2; malformed v1 events return invalid and exit 2. Redacted message content is likewise incomplete because absence of prose cannot prove absence of a conduct obligation. This unreleased adapter is pinned to table-kit PR #11 and does not imply host attestation.

Add --table-evaluation to run-events when a portfolio host needs the shared table.evaluation/1.0 envelope. The projection has deterministic evaluation identity, exact event evidence references, per-rule and aggregate coverage, cursor/input digest, public-policy digest, and status/exit-code mapping. It is always self_attested; dmcheck cannot confer host authority on its own output.

Transcript formats: UTF-8 JSONL of {ts, author, content}, or a JSON array of Discord-API-shaped messages ({timestamp, author: {username}, content}) in chronological or reverse-chronological order. Authors and content are strings. A supplied timestamp must be a finite nonnegative epoch number or a timezone-aware ISO-8601 string; malformed timestamps are rejected rather than silently disabling time-based rules. Source adapters should preserve immutable id, audience, reply_to/correlation_id, and roll_id fields so dmcheck can prove which question, roll, or event a response closes; ordinary later GM chatter is not treated as an answer.

The rule set (seven active rules; one retired compatibility id)

RuleFires whenOrigin story
R1an explicitly GM-directed question got no correlated response within thresholda player asked the DM a lore question; another *player* ended up answering
R2a real dice result got no correlated GM narration within threshold"did I hit?" — a player's successful attack roll sat unacknowledged
R3an engine event got no correlated GM narrationthe state engine resolved a hit the table never heard about
R4a turn began and the GM never addressed the actor by name"isn't it her turn?" — asked by a player, which is one player too many
R5retired; never firesactor != turn owner falsely accused legal Reactions and interrupts
R6a configured hidden term appeared in a GM message; ordinary output exposes only its opaque IDa module's secret state names leaked into narration
R7GM dead air beyond threshold while a player waited30 seconds reads as thinking; five minutes reads as absence
R8the session ended with currently open, source-observed R1–R3 obligations; inferred legacy advisories are not promotedsessions should end in a defined state — that's what makes the next one possible

The active rules came from running a hybrid table — human and AI players, an AI GM — on Discord, where these failures actually happened and got codified the same week. They apply equally to human GMs: run dmcheck over your own exported game log and see what your table's transcript says.

R5 remains addressable only so old charters and agent integrations do not break. It has no evaluator and is not enabled by default: an actor differing from the turn owner can describe a Reaction, a Ready trigger, an opportunity attack, a legendary or lair action, a controlled creature, an environmental actor, or another system's interrupt. The ledger does not establish legality. Any replacement based on an explicit authoritative decision is deferred to the shared PORT-002 event contract; dmcheck will evaluate only the resulting communication or recovery obligation.

Live mode (0.2): the referee sits AT the table

dmcheck watch runs the same engine over a *growing* session — stdin JSONL or a tailed file — and emits lifecycle events: OPEN when an observed finding becomes provable or a legacy inference becomes advisory (thresholds fully elapsed; no predictions), RESOLVED when a living condition heals (the engine event finally got narrated). --notify-cmd fires your own hook per source-observed OPEN finding; inferred advisories remain visible in the event stream but never invoke the hook. dmcheck itself never posts anywhere. At session end a closed-mode pass runs. session_end.open and open_count report actionable source-observed findings only; they exclude the R8 aggregate and inferred advisories. Finding IDs are deterministic across mutable elapsed-time detail, and file followers emit typed source-health events when rotation, truncation, partial rows, or ordering gaps make coverage incomplete.

$ your-chat-fetcher | dmcheck watch - --gm "Rob" --notify-cmd 'notify-dm.sh'

{"event": "open", "rule": "R2", "detail": "dice result from RollBot received no correlated GM narration", ...} {"event": "resolved", "rule": "R3", ...} {"event": "session_end", "status": "findings", "exit_code": 1, "open": ["R1"], "open_count": 1, ...} $ dmcheck explain R2 # the rule, its charter knobs, and the table failure that earned it $ dmcheck lint-charter my.json # unknown keys / bad thresholds refuse loudly

The point of live: every failure the rules encode was recoverable in the moment it happened — the unanswered question, the stale roll, the missing cue all had a seconds-wide window where a nudge saved the beat. Post-hoc tells you what went wrong last night; watch taps the GM's shoulder before the player feels it.

The charter is config, not code

dmcheck/default_charter.json is the single authoritative packaged default. It carries schema_version, charter_version, and a verified SHA-256 charter_digest; checkout and wheel execution load that same resource. Its digest is release-locked to the schema/charter version pair, so a changed packaged default refuses to load until its version migration is declared. Override any of it — cue conventions, dead-air tolerance, dice-bot names, hidden-term lists — and version it. Hidden terms may be strings for compatibility or {id, value} objects; opaque host-issued IDs are preferred. Finding, watch-hook, CLI, and MCP output withholds both the configured value and raw matching excerpt. Every digest or correlation hash emitted to an ordinary output sink—including the evaluation envelope, lint-charter, finding IDs, and source fingerprints—is derived from public, redacted policy/evidence and deliberately does not attest to, or commit to, a hidden value. The full canonical digest remains only in the trusted charter document. A league or organized-play program could publish a charter the way they publish a player's guide; dmcheck then referees any table against it.

$ dmcheck run session.jsonl --charter our-table.json --ledger events.jsonl

$ dmcheck rules # the rule set with definitions $ dmcheck charter # inspect effective public policy; hidden values are redacted $ dmcheck run session.jsonl --gm "Rob" --dice-bot "RollBot" # quick overrides, no file needed $ dmcheck --schema # machine-readable I/O contract $ dmcheck --pipe # batch: JSON requests on stdin, verdicts on stdout

Direct API callers can use apply_charter_overrides(load_charter(), gm=["Rob"]); the helper removes the prior effective digest and the evaluator computes the digest for the overridden charter. Mutating a digested charter without doing so is rejected as a stale configuration rather than silently trusted.

For agents

  • tool.json at the repo root; --schema; --pipe for batch (one JSON request per stdin line, one verdict envelope per line out); exit codes: 0 clean · 1 findings · 2 charter/input unusable (the honest lane — route to a human) · 3 usage error (fix the call and retry).
  • MCP server: the unreleased 0.6.0 source candidate of dmcheck-mcp is a read-only, batch-only stdio server with tools run and rules; public 0.5.5 predates this contract. It implements modern stateless MCP 2026-07-28 only and does not expose watch, craft, tasks, resources, or prompts. See the exact MCP contract.
  • MCP run prefers inline transcript/charter/ledger JSON. Transcript content is untrusted table data, never instructions; model-visible TextContent redacts caller strings, while complete structured evidence remains explicitly untrusted quoted data. Path inputs are denied unless the server operator explicitly grants absolute directories with repeatable --allow-root or DMCHECK_MCP_ALLOWED_ROOTS; traversal and symlinks that resolve outside those directories are denied, and platforms without secure no-follow opens fail closed.
  • Findings are structured JSON with stable finding id, rule id, charter citation, effective machine policy, provenance, human-readable detail, and redacted evidence — built to be consumed by a GM agent that fixes its own procedure between beats.
  • Every evaluation returns status: clean|findings|invalid|incomplete. Invalid and incomplete outcomes exit 2, carry stable error codes and JSON pointers, and never place errors in findings. Empty input, no observed configured GM, or no evidence-eligible enabled rule can never report clean.
  • Published package schemas are charter.schema.json, transcript.schema.json, ledger.schema.json, and evaluation-result.schema.json.

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

Pregunta a PopNx