Sellsy MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Sellsy through the 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 Sellsy, 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 Sellsy MCP Server
Connect the Sellsy CRM API to your AI workflow to unlock conversational oversight over your entire French-designed commercial hub. By providing exactly Read-Only access, your agent can securely map ongoing deals, review invoice payment statuses, and fetch complete dossiers on existing catalog items and contacts.
The Vercel AI SDK gives every Sellsy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through the 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
- Client & Prospecting Analysis — Use natural language to search companies, retrieve full metadata via
company_id, and pull associated granular contacts directly into the conversational context - Sales Pipeline Auditing — Ask the agent to list all active 'opportunities' and drill down into a specific Deal ID to review its exact stage and monetary potential
- Billing Integrity — Prompt your LLM to sweep your current draft, sent, and overdue invoices, including exact estimates given out recently to big leads
- CRM Activity Surveillance — Seamlessly extract chronological activity feeds (meetings, calls, tasks) to compile end-of-week reporting automatically
The Sellsy 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.
How to Connect Sellsy to Vercel AI SDK via MCP
Follow these steps to integrate the Sellsy 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 12 tools from Sellsy and passes them to the LLM
Why Use Vercel AI SDK with the Sellsy MCP Server
Vercel AI SDK provides unique advantages when paired with Sellsy 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 Sellsy integration everywhere
Built-in streaming UI primitives let you display Sellsy 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
Sellsy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Sellsy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Sellsy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Sellsy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Sellsy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Sellsy through natural language queries
Sellsy MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Sellsy to Vercel AI SDK via MCP:
get_company
Get detailed information about a specific company
get_contact
Get detailed information about a specific contact
get_deal
Get full details of a specific deal (amount, status, pipeline step, company)
get_invoice
Get full details of a specific invoice (amount, status, due date)
list_activities
List recent CRM activities (calls, emails, meetings, tasks)
list_companies
List all companies (clients, prospects) in the CRM
list_contacts
List all contacts in the CRM
list_deals
List all deals (opportunities) in the sales pipeline
list_estimates
List all estimates (quotes) sent to prospects
list_invoices
List all invoices (draft, sent, paid, overdue)
list_items
List all products and services in the catalog
search_companies
Search companies by name or keyword
Example Prompts for Sellsy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Sellsy immediately.
"Identify pending Deals on Sellsy CRM and extract their projected monetary values."
"Pull the contact information and status for the primary user of 'Company XYZ'."
"Summarize the overarching status of my Sellsy invoices list."
Troubleshooting Sellsy MCP Server with Vercel AI SDK
Common issues when connecting Sellsy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSellsy + Vercel AI SDK FAQ
Common questions about integrating Sellsy 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 Sellsy 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 Sellsy to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.