Bringg 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 Bringg 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 Bringg, 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 Bringg MCP Server
Connect your Bringg account to any AI agent and take full control of your final-mile delivery and dispatch operations through natural conversation.
The Vercel AI SDK gives every Bringg 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
- Delivery Tasks — Create, update, list, and cancel delivery tasks dynamically before the truck leaves your hub
- Fleet Dispatch — Manually assign specific drivers to tasks, bypassing default optimization algorithms
- Live Timelines — Pull real-time geolocated tracking data and status estimates for any active order
- Force Progression — Manually trigger task start or completion states to keep the dispatch board accurate
- Driver CRM — List all human drivers across the fleet, track their availability, and analyze active limits
- Customer Database — Instantly retrieve historical data for past delivery recipients
The Bringg 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 Bringg to Vercel AI SDK via MCP
Follow these steps to integrate the Bringg 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 Bringg and passes them to the LLM
Why Use Vercel AI SDK with the Bringg MCP Server
Vercel AI SDK provides unique advantages when paired with Bringg 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 Bringg integration everywhere
Built-in streaming UI primitives let you display Bringg 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
Bringg + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Bringg MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Bringg in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Bringg tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Bringg capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Bringg through natural language queries
Bringg MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Bringg to Vercel AI SDK via MCP:
assign_driver_to_task
Manually override optimization and assign a specific driver to a task
cancel_task_dispatch
Cancel and permanently remove a delivery task from the dispatch schedule
create_delivery_task
Create a new delivery task (order) in the Bringg Delivery Hub
force_task_complete
Force a delivery task status to COMPLETE (successfully delivered)
force_task_start
Force a delivery task status to START (driver en route)
get_task_timeline
Retrieve comprehensive details and live timeline for a specific task
list_active_tasks
` mapping the SaaS dashboard directly isolating pending deliveries. Retrieve a paginated list of active delivery tasks/orders
list_customer_crm
List historical delivery recipients (customers) registered in Bringg
list_fleet_drivers
List all human drivers (users) within the Bringg fleet network
update_task_details
Modify existing delivery task details such as customer notes or dropoff info
Example Prompts for Bringg in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Bringg immediately.
"Show me the top 3 most recent active deliveries in the hub."
"Where is the order for Task ID 3109 and what's its exact timeline?"
"Force mark task 9481 as complete, the driver forgot to do it."
Troubleshooting Bringg MCP Server with Vercel AI SDK
Common issues when connecting Bringg to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBringg + Vercel AI SDK FAQ
Common questions about integrating Bringg 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 Bringg 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 Bringg to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.