@exaudeus/workrail
Step-by-step workflow enforcement for AI agents via MCP
Serveur MCP · par @exaudeus
Aperçu
@exaudeus/workrail est un serveur MCP publié par @exaudeus. Places de marché que nous lisons et qui le référencent : 1 (npm registry (MCP servers)). Le dernier changement enregistré date du 2026-10-30. Selon notre passage sur les places de marché du 2026-11-03.
Ce qu'il demande
- S'exécute sur votre machine
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Paquet
npm @exaudeus/workrail (@exaudeus/workrail sur npm)
- Téléchargements npm par semaine: 486 (2026-10-30)
- Téléchargements npm par mois: 3 180 (2026-10-30)
- Dernière version sur npm : 3.127.2, publiée le 2026-10-28
Les données npm proviennent du registre public npm (registry.npmjs.org, api.npmjs.org). Chaque chiffre est celui du registre et ne s'additionne jamais à un autre. Un registre qui ne publie pas de chiffre n'en affiche aucun : pas de chiffre ne veut pas dire zéro.
Connecter
Pas de données pour une commande automatique : ce que déclarent ses places de marché ne dit pas sans ambiguïté comment le connecter.
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| npm registry (MCP servers) (Ouvrir sur npm) | Référencé | 3.127.2 | Téléchargements par mois (npm): 3 180 Téléchargements par semaine (npm): 486 Forks (GitHub): 2 Étoiles (GitHub): 4 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Ce qui a changé
- npm registry (MCP servers): version 3.127.2 publiée (avant 3.127.1)
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
agentwork-mcp io.github.ferm-ai/agentwork-mcp
Official MCP server for Agentwork — delegate tasks to AI agents with human-in-the-loop
-
ateam-mcp io.github.ariekogan/ateam-mcp
Build, validate, and deploy multi-agent AI solutions from any AI environment.
-
Unified MCP server for AgenticLens and Agentic Chaos capabilities.
-
Marrow AI: Control Layer for AI Agents
Approval gate and audit trail for AI agent actions: policy check first, proof after. Any MCP client.
-
Persistent work tracking for AI agents: tasks, status and history that follow you across machines
-
OrgX MCP — Organizational Continuity for AI Agents
Make AI work resumable, reviewable, and provable across agents.
-
mova-flat-runner io.github.mova-compact/mova-flat-runner
Governed AI workflows with human approval gates and audit trails for Claude and MCP clients.
-
orchestro io.github.khaoss85/orchestro
Your AI Development Conductor - 60 MCP tools for intelligent task orchestration
-
Project management MCP for AI agents with safe task reads and writes.
-
agent-tasks io.github.keshrath/agent-tasks
Pipeline task management for AI agents - stages, dependencies, artifacts, claiming
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
agent-tasks io.github.keshrath/agent-tasks
Pipeline task management for AI agents - stages, dependencies, artifacts, claiming
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
Teach Claude to orchestrate microservices and business processes with Conductor. This skill adds full workflow lifecycle management: define workflows with any task type (HTTP…
-
eu-ai-act-compliance-mcp io.github.CSOAI-ORG/eu-ai-act-compliance-mcp
Eu Ai Act Compliance MCP Server by MEOK AI Labs
-
Strale agent skills with remote MCP connector for Strale platform integration.
Référencé sur Claude Code: claude-plugins-official (5)
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore, connecting tools, memory, policies, evaluation, debugging, and production…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
Référencé sur Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Connect 8,000+ apps to your AI workflow. Discover, enable, and execute Zapier actions directly from your client.
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Comprehensive skill for the entire Temporal lifecycle — developing applications, using the Temporal CLI, running and managing Temporal Server, and working with Temporal Cloud.
Référencé sur Community GitHub marketplaces (5)
-
agent-tasks io.github.keshrath/agent-tasks
Pipeline task management for AI agents - stages, dependencies, artifacts, claiming
-
Build agents, MCP servers and tool-using workflows.
-
Agents for multi-agent orchestration, MCP tooling, and agentic workflows
-
Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring.
-
Advanced multi-agent coordination platform with task orchestration, performance monitoring, and workflow optimization. Features hooks for agent lifecycle events and MCP server for…
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Three-agent workflow for orchestrated software delivery with an orchestrator plus implementation and QA subagents.
-
crowdstrike-charlotte-ai-agentworks
CrowdStrike Charlotte AI AgentWorks skills for creating, managing, and invoking AI agents via external Falcon API Gateway endpoints. Includes agent lifecycle management…
-
Skills and interactive Copilot canvas for designing, configuring, testing and deploying agents to Microsoft Foundry.
-
foundry-hosted-agent-copilotkit
Build CopilotKit + AG-UI web apps on Microsoft Foundry hosted agents (Microsoft Agent Framework): wiring, native Foundry primitives, human-in-the-loop approvals, azd deploy, and…
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Référencé sur Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Let Grok Bot reach MCP servers on your private Tailscale network: connect your own tailnet, or your team's company tailnets turned on by a team admin, with each member using their…
Référencé sur Docker MCP Catalog (5)
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
testkube-mcp io.github.kubeshop/testkube-mcp
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Give your AI agents trusted access to the full Postman platform.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Référencé sur Official MCP Registry (5)
-
agentwork-mcp io.github.ferm-ai/agentwork-mcp
Official MCP server for Agentwork — delegate tasks to AI agents with human-in-the-loop
-
ateam-mcp io.github.ariekogan/ateam-mcp
Build, validate, and deploy multi-agent AI solutions from any AI environment.
-
Unified MCP server for AgenticLens and Agentic Chaos capabilities.
-
Marrow AI: Control Layer for AI Agents
Approval gate and audit trail for AI agent actions: policy check first, proof after. Any MCP client.
-
Persistent work tracking for AI agents: tasks, status and history that follow you across machines
Référencé sur PyPI (MCP servers) (5)
-
Unified MCP server for AgenticLens and Agentic Chaos capabilities.
-
Every tool your AI needs in one self-hosted install: memory, reasoning, git, Docker and more.
-
Automatic MCP Server & OpenAI Tools Bridge for apcore
-
parallel com.mcparmory/parallel
Search the web, extract content, and run distributed tasks with AI-powered automation
-
Turn a legacy SOAP/WSDL, database, or REST API into a safe, typed, audit-logged MCP server
Référencé sur npm registry (MCP servers) (5)
-
ateam-mcp io.github.ariekogan/ateam-mcp
Build, validate, and deploy multi-agent AI solutions from any AI environment.
-
Marrow AI: Control Layer for AI Agents
Approval gate and audit trail for AI agent actions: policy check first, proof after. Any MCP client.
-
MCP server for n8n workflow management -- view, create, sync and manage workflows via AI.
-
Model Context Protocol server for Axonity Flow — lets an external agent (e.g. Claude Code) read, draft, and update workflows, agents and tools in an Axonity tenant.
-
TaskFlow MCP server for AI coding agents (Claude Code, Codex, Gemini CLI, Cursor, opencode) — multi-agent task board, realtime chat, reviews, terminal streaming, activity logging…
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de npm registry (MCP servers). Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.