Dify.AI SDK MCP Server for Vercel AI SDK 14 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Dify.AI SDK 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 MCP SERVER
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 Dify.AI SDK, 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 Dify.AI SDK MCP Server
Connect your Vinkius agents directly to Dify.AI, the leading open-source LLM app development platform. With 10 exposed tools, you can execute complex Dify workflows, send messages to specialized chatbots, retrieve session histories, and submit model feedback for RLHF.
The Vercel AI SDK gives every Dify.AI SDK tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 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
- Agent Chat — Send messages to published Dify chatbots and track conversations
- Workflows — Trigger background Dify workflows with dynamic JSON parameters
- Session Management — Rename, fetch, or delete conversation histories
- Audit & Feedback — Programmatically submit 'like/dislike' ratings to improve model tuning
The Dify.AI SDK MCP Server exposes 14 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 Dify.AI SDK to Vercel AI SDK via MCP
Follow these steps to integrate the Dify.AI SDK 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 14 tools from Dify.AI SDK and passes them to the LLM
Why Use Vercel AI SDK with the Dify.AI SDK MCP Server
Vercel AI SDK provides unique advantages when paired with Dify.AI SDK 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 Dify.AI SDK integration everywhere
Built-in streaming UI primitives let you display Dify.AI SDK 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
Dify.AI SDK + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dify.AI SDK MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dify.AI SDK in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dify.AI SDK tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dify.AI SDK capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dify.AI SDK through natural language queries
Dify.AI SDK MCP Tools for Vercel AI SDK (14)
These 14 tools become available when you connect Dify.AI SDK to Vercel AI SDK via MCP:
chat_message
Send a chat message to a Dify Application
delete_conversation
Delete a Dify conversation
get_app_meta
Get application meta data configuration
get_conversation_messages
Get historical messages of a specific Dify conversation
get_conversations
List recent conversations for a user
get_suggested_questions
Use after receiving a chat response. Get next suggested questions for a message
get_workflow_info
Get basic App information
get_workflow_parameters
Get required application parameters
rename_conversation
Rename a Dify conversation
run_workflow
Execute a Dify Workflow application
send_completion
Returns the full generated text. Send a text completion request to a Dify completion app
stop_chat_generation
Only supported for streaming mode responses. Stop an in-progress chat message generation
submit_feedback
Submit feedback (like/dislike) for a message
upload_file
Upload a file via URL for multimodal understanding
Example Prompts for Dify.AI SDK in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dify.AI SDK immediately.
"Check my recent Dify conversations and tell me the name of the last one."
Troubleshooting Dify.AI SDK MCP Server with Vercel AI SDK
Common issues when connecting Dify.AI SDK to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDify.AI SDK + Vercel AI SDK FAQ
Common questions about integrating Dify.AI SDK 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 Dify.AI SDK 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 Dify.AI SDK to Vercel AI SDK
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.