모든 비즈니스 프로세스를 설명하세요. Claude, Cursor, Windsurf, 터미널 또는 MCP 호환 클라이언트 내에서 편집, 내보내기 및 공유가 가능한 시각적 AI 자동화 워크플로우를 얻을 수 있습니다.
이 MCP 서버는 귀하의 AI 어시스턴트나 코딩 에이전트를 Obscura AI의 워크플로우 빌더에 연결합니다. 비즈니스 자동화 매핑을 요청하면 대화형 시각적 워크플로우를 생성하고, 이를 열고 편집하며 공유할 수 있는 링크를 제공합니다.
API 키가 필요 없습니다. 가입도 필요 없습니다. 비용도 무료입니다.
사용자: "호텔 투숙객 체크인을 위한 자동화 프로세스를 매핑해줘"
Claude / Cursor / 에이전트: 여기 워크플로우가 있습니다 — 예약 확인부터 투숙 후 리뷰까지 6단계로 구성되어 있습니다.
워크플로우 열기: https://obscuraai.xyz/builder?d=eJxVjk...
링크를 클릭하면 노드를 드래그하고, 라벨을 편집하며, 흐름을 내보내거나 공유할 수 있는 시각적 캔버스가 열립니다.
Related MCP server: task-orchestrator
클라이언트 | 유형 |
Claude Desktop | 데스크톱 앱 |
Claude Code | CLI / 터미널 |
Cursor | IDE |
Windsurf | IDE |
Cline | VS Code 확장 프로그램 |
Continue.dev | VS Code / JetBrains |
Zed | 에디터 |
Any MCP stdio client | CLI / 커스텀 에이전트 |
HTTP direct | LangChain, CrewAI, 커스텀 LLM |
산업 | 예시 워크플로우 |
호텔/숙박 | 투숙객 커뮤니케이션, 테이블 예약, 공급업체 조정, 이벤트 기획 |
부동산 | 부동산 파이프라인, 임차인 관리, 문서 처리 |
에이전시 | 고객 온보딩, 콘텐츠 파이프라인, 리드 자격 검증 |
법률 | 문서 인텔리전스, 사건 접수, 규정 준수 |
금융 | KYC 확인, 보고 파이프라인, 송장 자동화 |
산업별 라벨 사용자 정의가 가능한 14개의 사전 구축된 워크플로우 템플릿을 제공합니다.
설정 파일에 추가하세요:
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"]
}
}
}Claude Desktop을 재시작하세요. 연결된 도구에서 "obscura"를 확인할 수 있습니다.
claude mcp add obscura -- npx -y @obscuraai/mcp-serverMCP 설정(보통 mcp.json 또는 이와 유사한 파일)에 추가하세요:
{
"mcpServers": {
"obscura": {
"command": "npx",
"args": ["-y", "@obscuraai/mcp-server"]
}
}
}npx -y @obscuraai/mcp-server이 서버는 stdin/stdout을 통해 JSON-RPC를 사용합니다 — 모든 에이전트에서 메시지를 직접 파이핑하세요.
POST https://obscuraai.xyz/api/mcp
Content-Type: application/json인증이 필요 없습니다. HTTP를 지원하는 모든 에이전트나 LLM 프레임워크에서 호출하세요.
generate_obscura_workflow시각적 워크플로우를 생성하고 대화형 캔버스로 연결되는 공유 가능한 링크를 반환합니다.
매개변수 | 유형 | 필수 | 설명 |
| string | 예 | 자동화할 비즈니스 프로세스 |
| string | 아니오 |
|
에이전트에게 다음과 같이 요청해보세요:
"우리 에이전시의 리드 자격 검증을 위한 자동화를 매핑해줘"
"두바이 호텔을 위한 투숙객 커뮤니케이션 워크플로우를 설계해줘"
"법률 사무소를 위한 문서 처리 파이프라인을 구축해줘"
"부동산 관리를 위한 임차인 유지보수 요청 흐름을 만들어줘"
Obscura AI는 현대 비즈니스를 위한 맞춤형 AI 워크플로우, 에이전트 및 자동화 시스템을 구축합니다. 우리는 수개월이 아닌 며칠 만에 시스템을 배포합니다.
창립자: Prince Adza
웹사이트: obscuraai.xyz
이메일: prince@obscuraai.xyz
WhatsApp: +447466314822
서비스 지역: 두바이, 몬테카를로, 남아프리카 공화국, 싱가포르, 런던, 그리고 북미 및 유럽 전역으로 확장 중입니다.
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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