ProcessOn MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ProcessOn through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 ProcessOn, 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 ProcessOn MCP Server
Empower your AI agent to orchestrate your visual documentation with ProcessOn, the premier online platform for flowcharts, mind maps, and organizational charts. By connecting ProcessOn to your agent, you transform complex diagram management and project coordination into a natural conversation. Your agent can instantly list your files, create new diagrams, export your work into multiple formats, and even monitor collaborators without you ever needing to navigate the web interface. Whether you are designing a system architecture or a complex business process, your agent acts as a real-time visual documentation assistant, keeping your diagrams organized and your production moving.
The Vercel AI SDK gives every ProcessOn tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Diagram Orchestration — List all accessible flowcharts, mind maps, and diagrams across your ProcessOn workspace.
- File Management — Create, retrieve, and delete diagrams with full support for collaborative metadata.
- Export Control — Seamlessly export diagrams into standard formats like png, pdf, svg, and Visio.
- Folder Organization — Browse folder structures and manage diagram locations efficiently.
- Collaboration Monitoring — List file collaborators and manage access insights for your team.
The ProcessOn MCP Server exposes 10 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.
How to Connect ProcessOn to Vercel AI SDK via MCP
Follow these steps to integrate the ProcessOn MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from ProcessOn and passes them to the LLM
Why Use Vercel AI SDK with the ProcessOn MCP Server
Vercel AI SDK provides unique advantages when paired with ProcessOn 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 ProcessOn integration everywhere
Built-in streaming UI primitives let you display ProcessOn 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
ProcessOn + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ProcessOn MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ProcessOn in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ProcessOn tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ProcessOn capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ProcessOn through natural language queries
ProcessOn MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect ProcessOn to Vercel AI SDK via MCP:
create_file
Create a new diagram
delete_file
Delete a diagram
export_file
Export a diagram
get_file
Get diagram file details
get_folder_content
Get folder contents
get_org_info
Get organization details
get_recent_files
Get recent files
list_collaborators
List file collaborators
list_files
List all ProcessOn files
list_folders
List all folders
Example Prompts for ProcessOn in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ProcessOn immediately.
"List all my flowcharts on ProcessOn."
"Create a new mind map titled 'Q4 Goals' in the 'Planning' folder."
"Export the diagram 'Architecture V2' to PNG format."
Troubleshooting ProcessOn MCP Server with Vercel AI SDK
Common issues when connecting ProcessOn to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpProcessOn + Vercel AI SDK FAQ
Common questions about integrating ProcessOn 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.Connect ProcessOn with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ProcessOn to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.