Bring Workflow Automation
to Vercel AI SDK
Learn how to connect Kissflow to Vercel AI SDK and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Kissflow MCP Server?
Connect your Kissflow account to any AI agent and manage workflows through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your Kissflow Access Key ID, Secret Access Key, Subdomain, and Account ID
3. Start managing workflows from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Operations — manage automated workflows and track requests
- Managers — monitor approvals and process bottlenecks
- IT Teams — access process data and configuration
Built-in capabilities (9)
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
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Kissflow integration everywhere
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Built-in streaming UI primitives let you display Kissflow tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Kissflow in Vercel AI SDK
Kissflow and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Kissflow to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Kissflow in Vercel AI SDK
The Kissflow 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. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Kissflow for Vercel AI SDK
Every tool call from Vercel AI SDK to the Kissflow MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create and track requests within processes?
Yes. Create new requests within any process, update request data, and track them through workflow stages including pending approvals.
Does Kissflow require four credentials?
Yes. Kissflow requires Access Key ID, Secret Access Key, Subdomain, and Account ID. Requests go to https://{subdomain}.kissflow.com/v1/{accountId}/.
Can I monitor pending approvals?
Yes. Track all pending approvals across processes with assignee, status, and deadline information.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp