Avaza MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Avaza 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 Avaza, 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 Avaza MCP Server
Connect your Avaza account to any AI agent and manage your entire professional services lifecycle through natural conversation.
The Vercel AI SDK gives every Avaza tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Project & Task Operations — Create, update, and list projects and tasks to keep your team aligned and on schedule
- Smart Time Tracking — Log and audit timesheet entries for accurate resource management and billing
- CRM & Financial Insights — Access company contacts and retrieve recent invoices for full visibility into project financials
- Resource Coordination — Programmatically manage your professional services workflows and team allocations
The Avaza MCP Server exposes 11 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 Avaza to Vercel AI SDK via MCP
Follow these steps to integrate the Avaza 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 11 tools from Avaza and passes them to the LLM
Why Use Vercel AI SDK with the Avaza MCP Server
Vercel AI SDK provides unique advantages when paired with Avaza 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 Avaza integration everywhere
Built-in streaming UI primitives let you display Avaza 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
Avaza + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Avaza MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Avaza in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Avaza tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Avaza capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Avaza through natural language queries
Avaza MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Avaza to Vercel AI SDK via MCP:
create_project
Create a new project
create_task
Create a new task in a project
create_timesheet
Create a new timesheet entry
get_account_check
Verify Avaza account connection
get_project
Get details for a specific project
list_contacts
List company contacts and users
list_invoices
List recent invoices
list_projects
List all Avaza projects
list_tasks
List all Avaza tasks
list_timesheets
List timesheet entries
update_task
Update an existing task
Example Prompts for Avaza in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Avaza immediately.
"List all active projects in Avaza."
"Create a new task 'Prepare Financial Audit' in project ID 12345."
"Log 2 hours of work for today on project 'Website Redesign'."
Troubleshooting Avaza MCP Server with Vercel AI SDK
Common issues when connecting Avaza to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAvaza + Vercel AI SDK FAQ
Common questions about integrating Avaza 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 Avaza 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 Avaza to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.