How to Use the Kissflow MCP in Mastra AI

Q: How do I integrate Kissflow with Mastra AI?

Run npm install @mastra/mcp@latest. Create a new MCPClient passing your Vinkius URL in the servers object. Then call mcpClient.listTools() and spread them into your Mastra Agent tools.

Q: How do I add human approval to Kissflow actions in Mastra AI?

You can use the requireToolApproval setting in Mastra. This pauses the agent before it executes sensitive operations, waiting for a human to confirm the action.

Build resilient Mastra AI workflows that automate your Kissflow MCP Server processes with automatic retries and conditional branching.

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Connect Kissflow MCP to Mastra AI

Create your Vinkius account to connect Kissflow to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Kissflow with Mastra AI

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Automate Kissflow MCP Server Workflows

`list_processes` and `list_process_items` let your Mastra AI agents track multi-step business logic and react to state changes. If a process stalls, your workflow can detect it and branch into an escalation path. Mastra handles the network hiccups automatically. If the API rate limits your request for workflow items, the built-in exponential backoff catches the error and retries until it succeeds.

Sync Dataforms with Branching Logic

`list_dataforms` and `list_dataform_items` pull raw form entries into your agent's memory for conditional processing. You can set up rules that route data differently based on the form contents. A user submits a high-priority request. The agent reads the entry, evaluates the priority flag, and immediately triggers a specific notification sequence. Everything runs headless and deploys anywhere with one command.

Manage Access Control Dynamically

`list_groups` and `list_users` provide the directory context your agent needs to assign tasks. The workflow can verify who belongs to a specific department before proceeding. If a group lookup fails, the framework's error handling keeps the whole system from crashing. You can even require human-in-the-loop approval before the agent finalizes any major routing decisions based on `get_user_details`.

Setup guide

Set up Kissflow MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Kissflow tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "kissflow-mcp-client",
  servers: {
    "kissflow-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Kissflow Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Kissflow tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Kissflow transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kissflow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Kissflow MCP in Mastra AI

Run `npm install @mastra/mcp@latest`. Create a new `MCPClient` passing your Vinkius URL in the servers object. Then call `mcpClient.listTools()` and spread them into your Mastra Agent tools.

Yes. Mastra has a built-in workflow engine with automatic retries. If a call to `list_datasets` fails or hits a limit, the agent uses exponential backoff to try again without breaking your pipeline.

No. Mastra auto-detects whether your endpoint uses Streamable HTTP or SSE. You just provide the URL and the framework handles the connection details.

You can use the `requireToolApproval` setting in Mastra. This pauses the agent before it executes sensitive operations, waiting for a human to confirm the action.

We isolate every single transaction. When your agent queries master data via `list_dataset_items`, the data passes through a zero-trust environment. The server spins up, handles the exact request, and immediately tears down.

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