Dixa 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 Dixa through 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 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
Integrate Dixa, the customer friendship platform, directly into your AI workflow. Manage your multi-channel support conversations, monitor agent presence and performance, track service queues, and oversee your support teams using natural language.
The Vercel AI SDK gives every Dixa tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 Oversight — List and retrieve detailed information for all customer conversations and their current processing status.
- Agent Intelligence — Monitor real-time agent presence, profile details, and team assignments across your organization.
- Queue Monitoring — Track active service queues and routing settings to ensure efficient support delivery.
- Team Management — List all support teams and identify members assigned to specific organizational units.
The Dixa 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 Dixa to Vercel AI SDK via MCP
Follow these steps to integrate the Dixa 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 Dixa and passes them to the LLM
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
Dixa MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Dixa to Vercel AI SDK via MCP:
get_agent_profile
Get full profile and performance data for a specific agent
get_conversation_details
Get detailed information for a specific customer conversation
get_service_account_metadata
Retrieve metadata and usage limits for your Dixa account
list_customer_conversations
List all customer service conversations in your Dixa account
list_open_support_tickets
Identify conversations that are currently in an "Open" or "Unassigned" status
list_service_agents
List all support agents registered in your Dixa organization
list_service_queues
List all active service queues configured in Dixa
list_support_teams
List all configured support teams and their members
quick_agent_presence_audit
Retrieve a high-level summary of active agent presence statuses
search_conversations_by_subject
Search for conversations using a keyword in the subject
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 open support conversations."
"Show me the details for conversation '12345'."
"Who is currently available in the 'Sales' team?"
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.Connect Dixa 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 Dixa to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.