Daftra MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Client, Create Invoice, Create Product, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Daftra 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 Daftra app connector for Vercel AI SDK is a standout in the Crm 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 Daftra, 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 Daftra MCP Server
Connect your Daftra account to any AI agent and take full control of your business accounting and ERP operations through natural conversation.
The Vercel AI SDK gives every Daftra 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
- Invoicing Orchestration — Create and manage professional invoices programmatically, including monitoring payment status and line item configurations in real-time
- Client Relationship Management — Access complete client profiles and interaction history to maintain high-fidelity customer records across the MENA region
- Inventory & Product Intelligence — Access your complete product catalog and retrieve real-time stock levels and service metadata directly through your agent
- Financial Visibility — Monitor business expenses, treasury balances, and client payments to maintain a high-fidelity overview of your financial health
- Staff Coordination — Retrieve directories of staff members and manage account-level metadata directly through your agent for instant operational reporting
The Daftra 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 Daftra tools available for Vercel AI SDK
When Vercel AI SDK connects to Daftra through Vinkius, your AI agent gets direct access to every tool listed below — spanning daftra, erp-api, invoicing-automation, 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.
Create a new client
Requires client_id and invoice items. Create a new invoice
Create a new product
Get account details
Get invoice details
List all clients
List business expenses
List all invoices
List recent payments
List all products
List staff members
List treasuries/accounts
Connect Daftra to Vercel AI SDK via MCP
Follow these steps to wire Daftra 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 Daftra MCP Server
Vercel AI SDK provides unique advantages when paired with Daftra 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 Daftra integration everywhere
Built-in streaming UI primitives let you display Daftra 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
Daftra + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Daftra MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Daftra in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Daftra tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Daftra capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Daftra through natural language queries
Example Prompts for Daftra in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Daftra immediately.
"List all unpaid invoices in my account."
"Create a new client 'Ahmed Khalid' with email 'ahmed@example.com'."
"Show me the current treasury balances."
Troubleshooting Daftra MCP Server with Vercel AI SDK
Common issues when connecting Daftra to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDaftra + Vercel AI SDK FAQ
Common questions about integrating Daftra 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.