Kissflow MCP Server for Mastra AIGive Mastra AI instant access to 9 tools to Get User Details, List Dataform Items, List Dataforms, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Kissflow through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Kissflow app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"kissflow": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Kissflow Agent",
instructions:
"You help users interact with Kissflow " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Kissflow?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Kissflow MCP Server
Connect your Kissflow account to any AI agent and manage workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Kissflow tool infrastructure. Connect 9 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Process Management — List and inspect automated workflows and processes
- Request Tracking — Browse, create, and update requests within processes
- Form Access — View form fields and data schemas for each process
- Approval Monitoring — Track pending approvals and their status
- Data Access — Query process data with filters and pagination
The Kissflow MCP Server exposes 9 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 9 Kissflow tools available for Mastra AI
When Mastra AI connects to Kissflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, process-management, low-code, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Essential for reviewing detailed profile information. Get details for a specific user
Use this to export or review collected form data. List entries within a dataform
Dataforms are used for data collection without complex workflow logic. List all dataforms
Essential for querying master data or reference tables. List records within a dataset
Datasets serve as central tables for master data management. List all datasets
Useful for managing access control. List user groups
Useful for tracking the progress of individual flow requests. List items within a process
Processes are used to manage multi-step business logic. List all workflow processes
Use this to identify user IDs and email addresses. List all Kissflow users
Connect Kissflow to Mastra AI via MCP
Follow these steps to wire Kissflow into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Kissflow MCP Server
Mastra AI provides unique advantages when paired with Kissflow through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Kissflow without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Kissflow tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Kissflow + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Kissflow MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Kissflow, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Kissflow as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Kissflow on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Kissflow tools alongside other MCP servers
Example Prompts for Kissflow in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Kissflow immediately.
"Show all processes and pending approvals across workflows."
"Create a new purchase request and list recent expense reports."
"Show the form fields for Leave Approval and all active leave requests."
Troubleshooting Kissflow MCP Server with Mastra AI
Common issues when connecting Kissflow to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpKissflow + Mastra AI FAQ
Common questions about integrating Kissflow MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.