Kissflow MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Get User Details, List Dataform Items, List Dataforms, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kissflow through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Kissflow app connector for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Kissflow, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Kissflow tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to wire Kissflow into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Kissflow MCP Server
Vercel AI SDK provides unique advantages when paired with Kissflow through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Kissflow integration everywhere
Built-in streaming UI primitives let you display Kissflow tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Kissflow + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kissflow MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kissflow in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kissflow tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kissflow capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kissflow through natural language queries
Example Prompts for Kissflow in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Kissflow to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKissflow + Vercel AI SDK FAQ
Common questions about integrating Kissflow MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.