Bleez MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Create Accounting Entry, Create Invoice, Get Account Info, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Bleez 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 Bleez app connector for Vercel AI SDK is a standout in the Document Management category — giving your AI agent 8 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 Bleez, 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 Bleez MCP Server
Connect your Bleez account to any AI agent and take full control of your French accounting workflows and digital document management through natural conversation.
The Vercel AI SDK gives every Bleez tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Ledger Orchestration — List and manage accounting journal entries programmatically, retrieving detailed historical ledger data in real-time
- Invoice Lifecycle Management — Create and track sales and purchase invoices programmatically to maintain a perfectly coordinated billing pipeline
- Document Ingestion — Programmatically upload digital documents (PDF/Images) to the 'Factures à traiter' module for high-fidelity automated processing
- Contact Discovery — Access complete directories of customer and supplier profiles to coordinate your organizational relationship ecosystem
- Folder Visibility — Retrieve organization-level metadata and folder settings directly through your agent for instant financial reporting
The Bleez MCP Server exposes 8 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 8 Bleez tools available for Vercel AI SDK
When Vercel AI SDK connects to Bleez through Vinkius, your AI agent gets direct access to every tool listed below — spanning ledger-management, invoicing, accounting-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.
Provide date, label, and account lines. Create a new accounting entry
Provide contact ID and amount. Create a new invoice
Get current account settings
List all accounting journal entries
List all customers
List all invoices
List all suppliers
Upload a digital document for processing
Connect Bleez to Vercel AI SDK via MCP
Follow these steps to wire Bleez 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 Bleez MCP Server
Vercel AI SDK provides unique advantages when paired with Bleez 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 Bleez integration everywhere
Built-in streaming UI primitives let you display Bleez 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
Bleez + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Bleez MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Bleez in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Bleez tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Bleez capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Bleez through natural language queries
Example Prompts for Bleez in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Bleez immediately.
"List all active customers in my Bleez folder."
"Upload the file 'invoice_123.pdf' to Bleez for processing."
"Show the last 5 accounting entries recorded this month."
Troubleshooting Bleez MCP Server with Vercel AI SDK
Common issues when connecting Bleez to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBleez + Vercel AI SDK FAQ
Common questions about integrating Bleez 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.