Describe cualquier proceso de negocio. Obtén un flujo de trabajo de automatización de IA visual que puedes editar, exportar y compartir, dentro de Claude, Cursor, Windsurf, tu terminal o cualquier cliente compatible con MCP.
Prueba el constructor gratis | Sitio web
Este servidor MCP conecta tu asistente de IA o agente de programación con el Constructor de flujos de trabajo de Obscura AI. Cuando le pides que trace una automatización de negocio, genera un flujo de trabajo visual interactivo y te proporciona un enlace para abrirlo, editarlo y compartirlo.
Sin clave API. Sin registro. Sin coste.
Tú: "Traza una automatización para el registro de huéspedes en mi hotel"
Claude / Cursor / tu agente: Aquí tienes tu flujo de trabajo: 6 pasos que cubren desde la confirmación de la reserva hasta la revisión posterior a la estancia.
Abre tu flujo de trabajo: https://obscuraai.xyz/builder?d=eJxVjk...
El enlace abre un lienzo visual donde puedes arrastrar nodos, editar etiquetas y exportar o compartir el flujo.
Related MCP server: task-orchestrator
Cliente | Tipo |
Claude Desktop | Aplicación de escritorio |
Claude Code | CLI / terminal |
Cursor | IDE |
Windsurf | IDE |
Cline | Extensión de VS Code |
Continue.dev | VS Code / JetBrains |
Zed | Editor |
Cualquier cliente MCP stdio | CLI / agentes personalizados |
HTTP directo | LangChain, CrewAI, LLMs personalizados |
Industria | Flujos de trabajo de ejemplo |
Hostelería | Comunicaciones con huéspedes, reservas de mesa, coordinación de proveedores, planificación de eventos |
Inmobiliaria | Pipeline de propiedades, gestión de inquilinos, procesamiento de documentos |
Agencias | Incorporación de clientes, pipeline de contenido, cualificación de leads |
Legal | Inteligencia documental, recepción de casos, cumplimiento |
Finanzas | Verificaciones KYC, pipelines de informes, automatización de facturas |
14 plantillas de flujo de trabajo preconstruidas con personalización de etiquetas adaptada a la industria.
Añade a tu archivo de configuración:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"obscura": {
"command": "npx",
"args": ["-y", "@obscuraai/mcp-server"]
}
}
}Reinicia Claude Desktop. Verás "obscura" en tus herramientas conectadas.
claude mcp add obscura -- npx -y @obscuraai/mcp-serverAñade a tus ajustes de MCP (normalmente mcp.json o equivalente):
{
"mcpServers": {
"obscura": {
"command": "npx",
"args": ["-y", "@obscuraai/mcp-server"]
}
}
}npx -y @obscuraai/mcp-serverEl servidor utiliza JSON-RPC a través de stdin/stdout: envía mensajes directamente desde cualquier agente.
POST https://obscuraai.xyz/api/mcp
Content-Type: application/jsonNo se requiere autenticación. Llámalo desde cualquier agente o framework de LLM compatible con HTTP.
generate_obscura_workflowGenera un flujo de trabajo visual y devuelve un enlace compartible al lienzo interactivo.
Parámetro | Tipo | Requerido | Descripción |
| string | Sí | El proceso de negocio a automatizar |
| string | No |
|
Prueba a pedirle a tu agente:
"Traza una automatización para la cualificación de leads en mi agencia"
"Diseña un flujo de trabajo de comunicaciones con huéspedes para un hotel en Dubái"
"Construye un pipeline de procesamiento de documentos para un bufete de abogados"
"Crea un flujo de solicitud de mantenimiento de inquilinos para la gestión de propiedades"
Obscura AI construye flujos de trabajo, agentes y automatizaciones de IA personalizados para empresas modernas. Desplegamos sistemas en días, no en meses.
Fundador: Prince Adza
Sitio web: obscuraai.xyz
Correo electrónico: prince@obscuraai.xyz
WhatsApp: +447466314822
Mercados atendidos: Dubái, Montecarlo, Sudáfrica, Singapur, Londres y en expansión por Norteamérica y Europa.
MIT
Generate a visual AI automation workflow for a business process. Returns a shareable link to an interactive canvas on obscuraai.xyz where the workflow can be viewed, edited, and exported. Use when a user wants to map out an automation, workflow, or AI system for their business.
| Name | Required | Description | Default |
|---|---|---|---|
| description | Yes | Describe the business process to automate. Include the industry and specific pain point if possible. | |
| industry | No | Primary industry (optional) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the output ('shareable link') and that the workflow can be 'viewed, edited, and exported,' but lacks details on permissions, rate limits, error handling, or whether the generation is idempotent. For a tool with no annotations, this leaves significant gaps in understanding its behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded, stating the purpose and output in the first sentence. The second sentence adds usage context without redundancy. Both sentences earn their place, but minor improvements in clarity could push it to a perfect score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations and no output schema, the description partially compensates by explaining the output format and usage. However, it lacks details on behavioral traits like error conditions or performance, and does not fully address the complexity of a workflow generation tool. It is minimally adequate but has clear gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description does not explicitly discuss parameters, but the input schema has 100% description coverage, clearly documenting both parameters. The description implies parameter use through 'Describe the business process to automate' but adds no additional meaning beyond the schema. With high schema coverage, the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Generate a visual AI automation workflow for a business process.' It specifies the verb ('Generate') and resource ('visual AI automation workflow'), and mentions the output ('Returns a shareable link to an interactive canvas on obscuraai.xyz'). However, since there are no sibling tools, it cannot distinguish from alternatives, preventing a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides some usage guidance: 'Use when a user wants to map out an automation, workflow, or AI system for their business.' This implies the context but does not explicitly state when not to use it or compare to alternatives. Since there are no sibling tools, the lack of alternatives is understandable, but the guidance remains basic.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
v1.0.4generate_obscura_workflowScored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to compare it to. The tool's purpose is clearly defined and distinct by default.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'generate_obscura_workflow' follows a clear verb_noun pattern, but there are no other tools to assess consistency across a set.
A single tool is too few for the server's apparent purpose of generating and managing visual AI automation workflows, as it lacks operations for viewing, editing, or exporting workflows beyond the initial generation. This minimal scope will likely cause agent failures due to incomplete functionality.
The tool surface is severely incomplete for the domain of workflow automation; it only provides generation without any CRUD operations (e.g., no tools to list, update, delete, or retrieve existing workflows), leaving significant gaps that will hinder agent effectiveness.
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