About Kuriflow
Kuriflow is an MCP server for turning an AI agent’s completed task into a repeatable workflow that can run with new data. It is for people automating recurring work from email, Google Drive, schedules, or file uploads; runs do not consume AI tokens.
Key features
- 01Save AI solutions as workflows
- 02Run workflows with new data
- 03Trigger runs from email or Drive
- 04Schedule runs or upload files
- 05Check results and request approval
Use cases
- 01Generate recurring reports from spreadsheets
- 02Process email attachments automatically
- 03Run scheduled workflows using fresh data
MCP support
Kuriflow exposes tools for saving, running, and listing workflows, checking results, requesting approval, and looking up regulations to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx kuriflow-mcpKURIFLOW_API_KEYSecretYour Kuriflow API key. Get one at https://kuriflow.com/signup (Google sign-in, 30 seconds).KURIFLOW_API_URLKuriflow backend URL. Defaults to https://api.kuriflow.com — override only for self-hosted deployments.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp-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
Option 1: Claude Cowork — one-click OAuth (recommended)
If you use Claude Cowork (Pro or Max plan):
- Settings → Connectors → Add custom connector
- Paste the server URL:
https://mcp.kuriflow.com - Click Connect
- Sign in with Google (Kuriflow uses your Google account — no separate signup)
- 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.
- Sign up at kuriflow.com/signup (30 seconds, Google account)
- Open Settings → API Keys in your dashboard, click Generate, and copy the shown key — it's displayed only once
- Add it to your config above
How It Works
- 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"
- The AI gives the solution.
- You ask the AI to save it as a repeatable workflow with Kuriflow.
- 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
| Tool | Description |
|---|---|
save_workflow | Save the AI's solution as a repeatable workflow |
run_workflow | Run it again with new data |
list_workflows | See your saved workflows |
list_kuris | Browse available workflow types |
get_execution_result | Check results and download outputs |
request_approval | Request human approval before proceeding |
get_approval_status | Check approval decision |
query_regulation | Look up regulatory rules |
Why Kuriflow?
| AI alone | AI + Kuriflow | |
|---|---|---|
| First time | AI solves it | AI solves it |
| Every repeat | Tokens burned again | Runs with new data, no tokens |
| Monthly cost | Grows with every repeat | Fixed after setup |
| Your tokens | Spent on routine | Saved for what matters |
Free Early Access
10 runs per month. Need more? Email [email protected].
Links
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.