Dixa MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Assign To Self, Create Conversation, Create Customer Profile, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Dixa 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 Dixa app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 12 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 Dixa, 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 Dixa MCP Server
Connect your Dixa account to any AI agent and take full control of your omnichannel customer service and team coordination workflows through natural conversation.
The Vercel AI SDK gives every Dixa tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Conversation Orchestration — List and manage active support tickets programmatically, including retrieving detailed metadata and historical context
- Agent & Team Coordination — Assign conversations to yourself or specific team members and monitor agent availability in real-time to optimize response times
- Customer Profile Intelligence — Access and manage end-user (customer) profiles programmatically to maintain a high-fidelity record of contact information and interaction history
- Lifecycle Management — Programmatically create new support requests or mark existing conversations as resolved/closed to maintain a structured support pipeline
- Operational Monitoring — Check API connectivity and monitor active webhooks directly through your agent for reliable service operations
The Dixa MCP Server exposes 12 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 12 Dixa tools available for Vercel AI SDK
When Vercel AI SDK connects to Dixa through Vinkius, your AI agent gets direct access to every tool listed below — spanning omnichannel-support, conversational-ai, ticket-management, 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.
Claim a conversation
Add new support chat
Add new customer
Get agent details
Check API health
Get ticket info
Get event configs
List customer tickets
List Dixa customers
List active agents
List agent teams
Close a conversation
Connect Dixa to Vercel AI SDK via MCP
Follow these steps to wire Dixa 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 Dixa MCP Server
Vercel AI SDK provides unique advantages when paired with Dixa 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 Dixa integration everywhere
Built-in streaming UI primitives let you display Dixa 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
Dixa + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dixa MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dixa in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dixa tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dixa capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dixa through natural language queries
Example Prompts for Dixa in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dixa immediately.
"List all active conversations in Dixa."
"Find the customer profile for 'jane.doe@example.com'."
"Mark conversation ID 'conv_456' as resolved."
Troubleshooting Dixa MCP Server with Vercel AI SDK
Common issues when connecting Dixa to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDixa + Vercel AI SDK FAQ
Common questions about integrating Dixa 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.