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io.github.sGuNk13/kuriflow-mcp

Registre officiel IA et agents

Make AI tasks repeatable. Run with new data automatically — zero AI tokens per run.

Code source Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

PYPI package kuriflow-mcp
Claude Code 
claude mcp add kuriflow-mcp -e 'KURIFLOW_API_KEY=<your kuriflow_api_key>' -e 'KURIFLOW_API_URL=https://api.kuriflow.com' -- uvx kuriflow-mcp==0.1.1
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "kuriflow-mcp": {
            "command": "uvx",
            "args": [
                "kuriflow-mcp==0.1.1"
            ],
            "env": {
                "KURIFLOW_API_KEY": "<your kuriflow_api_key>",
                "KURIFLOW_API_URL": "https://api.kuriflow.com"
            }
        }
    }
}

Variables d'environnement

  • KURIFLOW_API_KEY obligatoire secret Your Kuriflow API key. Get one at https://kuriflow.com/signup (Google sign-in, 30 seconds).
  • KURIFLOW_API_URL Kuriflow backend URL. Defaults to https://api.kuriflow.com — override only for self-hosted deployments.

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Kuriflow MCP Server
  2. Quick Start
  3. Get Your API Key (Options 2 & 3 only)
  4. How It Works
  5. Tools
  6. Why Kuriflow?
  7. Free Early Access
  8. Links
  9. License

mcp-name: io.github.sGuNk13/kuriflow-mcp

Kuriflow MCP Server

AI solves tasks once. Kuriflow makes them repeat.

Stop spending AI tokens on the same task every week. Let your AI agent solve it once, then Kuriflow runs it automatically with new data — via email, Google Drive, or schedule. Zero token cost per run.

Quick Start

If you use Claude Cowork (Pro or Max plan):

  1. Settings → Connectors → Add custom connector
  2. Paste the server URL: https://mcp.kuriflow.com
  3. Click Connect
  4. Sign in with Google (Kuriflow uses your Google account — no separate signup)
  5. Click Allow on the consent screen

Tools become available in any new chat. Zero copy-paste, zero JSON.

Option 2: Remote with API key

For Claude Desktop or any client that supports raw remote MCP servers with bearer auth. Edit your client's MCP config:

{
  "mcpServers": {
    "kuriflow": {
      "url": "https://mcp.kuriflow.com",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
Option 3: Local install (uvx)
{
  "mcpServers": {
    "kuriflow": {
      "command": "uvx",
      "args": ["kuriflow-mcp"],
      "env": {
        "KURIFLOW_API_KEY": "your_kf_key",
        "KURIFLOW_API_URL": "https://api.kuriflow.com"
      }
    }
  }
}

Get Your API Key (Options 2 & 3 only)

Option 1 (Cowork OAuth) does NOT require an API key — skip this section.

  1. Sign up at kuriflow.com/signup (30 seconds, Google account)
  2. Open Settings → API Keys in your dashboard, click Generate, and copy the shown key — it's displayed only once
  3. Add it to your config above

How It Works

  1. Ask your AI agent (Claude, Gemini, ChatGPT, or any MCP-compatible client) to solve a task. For example:
    • "Analyze this sales data and create a dashboard with charts"
    • "Build a DCF model from the financial statement fetched from my Google Drive"
    • "Generate a monthly expense report from this spreadsheet using our template"
  2. The AI gives the solution.
  3. You ask the AI to save it as a repeatable workflow with Kuriflow.
  4. Choose how new data arrives:
    • Email trigger — Kuriflow watches your Gmail. When someone sends an attachment, the workflow runs automatically.
    • Google Drive — Kuriflow checks a Drive folder on your schedule (hourly, daily, weekly). New file? Workflow runs.
    • Schedule only — No input needed. The workflow fetches its own data from online sources and runs on your schedule.
    • Manual upload — Upload a file whenever you're ready.

You can also provide template files (.docx, .xlsx, .pptx) so Kuriflow fills them with fresh data every run.

Tools

ToolDescription
save_workflowSave the AI's solution as a repeatable workflow
run_workflowRun it again with new data
list_workflowsSee your saved workflows
list_kurisBrowse available workflow types
get_execution_resultCheck results and download outputs
request_approvalRequest human approval before proceeding
get_approval_statusCheck approval decision
query_regulationLook up regulatory rules

Why Kuriflow?

AI aloneAI + Kuriflow
First timeAI solves itAI solves it
Every repeatTokens burned againRuns with new data, no tokens
Monthly costGrows with every repeatFixed after setup
Your tokensSpent on routineSaved for what matters

Free Early Access

10 runs per month. Need more? Email support@kuriflow.com.

License

MIT

Questions fréquentes

Qu'est-ce que io.github.sGuNk13/kuriflow-mcp ?

Make AI tasks repeatable. Run with new data automatically — zero AI tokens per run.

Comment installer io.github.sGuNk13/kuriflow-mcp ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add kuriflow-mcp -e 'KURIFLOW_API_KEY=<your kuriflow_api_key>' -e 'KURIFLOW_API_URL=https://api.kuriflow.com' -- uvx kuriflow-mcp==0.1.1. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.sGuNk13/kuriflow-mcp ?

Oui. Il attend KURIFLOW_API_KEY, à renseigner dans sa configuration.

io.github.sGuNk13/kuriflow-mcp est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.sGuNk13/kuriflow-mcp ?

Il est publié par sGuNk13. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.