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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

TMCP

de jakyeamosversión 0.5.4i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.jakyeamos/tmcp

Instalar

Resumen

Descripción del creador (original en inglés)

Composable skill packets, harvests, workflow routing, and release/audit rubrics over MCP.

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

¿Qué app usas?

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

Descargar el archivo .mcpb del creador

El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.

Ejecuta esto en tu terminal

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.

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 jakyeamos, 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 32708 servidores de esta categoría
  • Publicado en el registro más recientemente que el 18% de los otros 32708 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32708 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 TMCP?

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 (0.5.4) llegó al registro hace 4 meses.

¿Qué apps pueden usarlo?

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

¿Qué puedo usar en su lugar?

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

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 anteayer
Instalar

OpenTakeoff

de Kentucky-ai

Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.

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.

TMCP Slash commands are manual imports. TMCP is the compiler.

TMCP turns scattered agent instructions into task-specific operating packets. The user describes the work in natural language. TMCP infers task identity, compiles the strongest current packet from skills/rules/evidence, recompiles as the work changes, and leaves an audit trail.

Skill names are provenance, not the user interface. Power users can still force a route; the default is natural prompting.

TMCP runs standalone from a repo checkout, copied plugin package, Codex plugin cache, Claude plugin cache, or any MCP host that can launch the bundled Node entrypoint. The former AIOS adapter is deprecated and disabled by default; AIOS_ROOT alone no longer enables it.

See docs/ADAPTIVE_PACKET_RUNTIME.md for the adaptive packet runtime design.

Quickstart

From a TMCP checkout or plugin root:

node scripts/tmcp_launcher.mjs doctor

node scripts/tmcp_launcher.mjs status node scripts/tmcp_launcher.mjs compose-packet "Improve this agent run" --project-path . --phase start node scripts/tmcp_launcher.mjs harvest skills --limit 5 --no-write-artifacts node scripts/tmcp_launcher.mjs recommend skills --candidate-workflows release_readiness --candidate-workflows developer_experience --min-confidence 0.1 --compose --no-write-artifacts

With no arguments, the same launcher starts the MCP stdio server:

node scripts/tmcp_launcher.mjs

Install Layouts

  • Skill-only install: copy skills/tmcp into a skills directory. Use the skill for routing and manual packet synthesis unless the host also exposes the bundled launcher.
  • Repo checkout: clone the repo and run node scripts/tmcp_launcher.mjs doctor from the checkout root.
  • Codex plugin cache: install as a Codex plugin; MCP config launches relative scripts/tmcp_launcher.mjs from the plugin root.
  • Shared local runtime: install a verified archive with scripts/tmcp_runtime.mjs so all agent hosts use one pinned active release with offline rollback. See Central runtime.
  • Deprecated AIOS compatibility: requires both TMCP_ENABLE_DEPRECATED_AIOS_ADAPTER=1 and AIOS_ROOT; new installations should use standalone TMCP.

Claude Desktop users can add the launcher as a local stdio MCP server. See docs/CLAUDE_DESKTOP.md.

Stability Scopes

TMCP labels three independent surfaces:

  • Skill packages: tmcp, skill-harvest, workflow-recommendation, release-readiness, and dx-audit are stable routing packages.
  • Curated workflow templates: release-readiness and dx-audit are the stable templates in the recommendation catalog.
  • MCP tool contracts: doctor, status, explain, compose-packet, and runtime-next are stable. Harvest, evaluation, recommendation, promotion, receipt, and expert-rubric tools remain experimental.

Experimental templates and tools remain shipped and callable. They are labeled experimental in their own outputs and frontmatter so users do not confuse a stable package route with a stable tool contract or curated template.

Experimental workflows include UI rubric, security/privacy, test strategy, adaptive workflow pack, custom rubric generation, routing policy, skill gap analysis, incident postmortem, architecture decision, migration readiness, agent handoff, PR risk, performance readiness, data integrity, public-sector readiness, and repo behavior spec loop.

Tools

ToolPurpose
tmcp_doctorCheck first-run readiness and supported install layouts.
tmcp_statusReport standalone capability and optional AIOS adapter status.
tmcp_explainCompile a task-specific TMCP packet.
tmcp_compose_packetCompile a task/phase operating packet with task_identity, packet_markdown, and provenance.
tmcp_runtime_nextReturn packet deltas or a full recompiled packet (output_mode: full) after runtime evidence changes.
tmcp_record_receiptWrite an advisory run receipt after verification or outcome on a secure-persistence host.
tmcp_harvest_skillsHarvest local skills, instructions, rules, docs, and workflows into source nodes.
tmcp_evaluate_skillsCreate or score a skill-evaluation plan from full SKILL.md inputs.
tmcp_recommend_workflowsRecommend stable or experimental workflows from harvested evidence, with stability metadata.
tmcp_promote_harvestExplicitly promote reviewed harvest signals into durable source-to-atom and atom-to-workflow graph artifacts.
expert_rubric_review_planProduce an expertise packet, scored rubric, evidence audit, remediation plan, and verification expectations.

Safety

Harvest redacts sensitive-looking values and secret-like provenance paths by default and treats harvested instructions as untrusted text. Default harvest behavior excludes .env*, credentials, tokens, browser profiles, private caches, dependency trees, build outputs, VCS data, and generated TMCP/AIOS artifacts. It does not follow source symlinks unless follow_symlinks is explicitly enabled; enabled links must still resolve inside the selected source root.

On hosts with secure descriptor-relative filesystem operations, harvest artifacts are written as one staged, atomic bundle through a symlink-safe destination. Leave output_dir unset for a unique .tmcp/harvest-* directory, or provide an output directory that is new or empty.

Skill evaluation accepts explicit regular SKILL.md inputs, can confine them to a supplied project root, and redacts source, plan, and evidence values before deriving reports. Its initial plan artifact is a staged bundle in a new or empty directory; evidence scoring may safely add its report to that same directory.

Artifact persistence is deliberately unavailable where those secure filesystem operations do not exist. doctor and status report the capability; use --no-write-artifacts for portable analysis and see Compatibility for the boundary.

tmcp_record_receipt has no non-persisting preview because the receipt is the artifact itself. Run it only when status reports artifact persistence available.

Packet sessions are equally explicit: compose-packet --session-id writes one redacted, project-local latest-packet record only when secure persistence is available. They are for a single serialized run, not a global history or coordination service. See the CLI session contract.

If a harvested source tries to override system, developer, or user instructions, TMCP reports a warning. See SECURITY.md.

Examples

Harvest a local skills folder:

node scripts/tmcp_launcher.mjs harvest ./skills --objective "Harvest reusable skill behavior" --limit 20 --no-write-artifacts

Recommend workflows for a project:

node scripts/tmcp_launcher.mjs recommend . --candidate-workflows release_readiness --candidate-workflows developer_experience --min-confidence 0.1 --compose --no-write-artifacts

Compose a current-task packet and recompile during the run. This session flow requires status to report artifact persistence available:

node scripts/tmcp_launcher.mjs compose-packet \

"Redesign these pages. Make them visually striking, interactive, modern, motion-rich, and production-ready." \ --project-path "$PWD" --phase start --session-id redesign-run

node scripts/tmcp_launcher.mjs recompile-packet \ "Redesign these pages..." \ --project-path "$PWD" \ --current-phase runtime \ --session-id redesign-run \ --files-changed app/page.tsx

node scripts/tmcp_launcher.mjs record-receipt packet-123 --activated-atoms ui-browser-verification --outcome passed

When session persistence is unavailable, preserve the compatibility path by passing the prior composed JSON inline through --previous-packet instead.

Legacy delta-only runtime routing:

node scripts/tmcp_launcher.mjs compose-packet "Fix the dashboard UI bug" --project-path . --phase start

node scripts/tmcp_launcher.mjs runtime-next "Fix the dashboard UI bug" --current-phase verification --files-changed app/page.tsx --failures "vitest failed" node scripts/tmcp_launcher.mjs record-receipt packet-123 --activated-atoms ui-browser-verification --outcome passed

Promote reviewed harvest signals into durable routing artifacts:

node scripts/tmcp_launcher.mjs promote-harvest . --selected-workflows release_readiness_workflow --output-dir .tmcp/promoted-harvests/release-readiness

On secure-persistence hosts, promotions also persist a redacted advisory graph under TMCP_HOME/promoted-harvests/ /, or ~/.tmcp/promoted-harvests/ / when TMCP_HOME is unset. Receipts live under TMCP_HOME/receipts/ /. Global cache content is advisory and cannot override system, developer, user, or project instructions. Packet composition and runtime routing do not read that cache unless the caller explicitly passes --cache-policy global; their default policy is none.

Run an expert rubric review from evidence snippets:

node scripts/tmcp_launcher.mjs review-plan "Review release portability" \

--project-path . \ --evidence-json '[{"dimension_id":"source_grounding","severity":"warning","summary":"Release claims need fresh package evidence.","evidence":["python3 scripts/check_release_package.py ."],"recommended_fix":"Run and cite the release package check before publishing."}]' \ --no-write-artifacts

More examples live in examples. Developer onboarding and release readiness exercise stable curated templates; skill-harvest and recommendation examples remain available through experimental tool contracts.

Validation

Before release:

python3 -m unittest discover -s tests

python3 scripts/release_package_compile.py . node --check scripts/tmcp_launcher.mjs python3 scripts/check_contracts.py . python3 scripts/check_install.py . python3 scripts/check_release_package.py . --verify-reproducible

The release package check builds from a clean, reviewed Git revision rather than the working directory. It ships only an explicit allowlist of committed files, rejects unsafe paths, symlinks, and secret-like content, then emits a deterministic RELEASE_MANIFEST.json plus archive digest. The CI release gate repeats the build from the same Git tree and requires both digests to match. It also validates frontmatter, hardcoded local paths, private example names, links, extracted-package install shape, doctor, sample harvest, sample workflow recommendation, sample expert rubric planning, composition/runtime/receipt smoke coverage, and stable/experimental workflow labeling. It is a DOI blocker until existing absolute user paths in release evidence docs are redacted or normalized.

DOI-Ready Research Release

TMCP is prepared as an independent software-methods artifact. See RESEARCH_READY.md and docs/release-notes/v0.3.3-doi.md for the citable artifact boundary, validation path, data-availability policy, and claim limits.

References

  • Quickstart
  • CLI
  • Install and package check
  • Distribution
  • Central runtime
  • Packet stability
  • Adaptive packet runtime
  • Tier One release rubric
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