Bring Invoicing
to Vercel AI SDK
Learn how to connect Evoliz to Vercel AI SDK and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Evoliz MCP Server?
Connect your Evoliz account to any AI agent and take full control of your cloud invoicing and accounting workflows through natural conversation.
What you can do
- Invoicing Orchestration — List and manage professional invoices programmatically, including retrieving detailed metadata and tracking payment statuses
- Quote Management — Programmatically fetch and list sales quotes to maintain a high-fidelity oversight of your pending deals
- Client CRM — Create and manage your complete customer database and retrieve detailed profiles directly through your agent
- Catalog Intelligence — Access your directory of articles (products/services) and retrieve technical metadata and pricing to coordinate sales
- Accounting Visibility — Monitor your business health by listing invoices and quotes programmatically using natural language commands
How it works
- Subscribe to this server
- Retrieve your API Token from your Evoliz settings (Settings > API)
- Start managing your cloud accounting from Claude, Cursor, or any MCP client
No more manual deal logging or digging through fragmented accounting tables. Your AI acts as your dedicated accounting and billing coordinator.
Who is this for?
- SME Owners — instantly check invoice statuses and client balances using natural language queries
- Accountants & Ops — monitor pending quotes and retrieve financial records without leaving your workspace
- Sales Teams — manage client profiles and coordinate article data through simple AI commands
Built-in capabilities (9)
Important required fields are usually `name` and `type` (Professional or Individual). Create a new client in Evoliz
Get a specific article in Evoliz
Get a specific client in Evoliz
Get a specific invoice in Evoliz
Get a specific quote in Evoliz
List articles (products/services) in Evoliz
List clients in Evoliz
List invoices in Evoliz
List quotes in Evoliz
Why Vercel AI SDK?
The Vercel AI SDK gives every Evoliz tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Evoliz integration everywhere
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Built-in streaming UI primitives let you display Evoliz tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Evoliz in Vercel AI SDK
Evoliz and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Evoliz to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Evoliz in Vercel AI SDK
The Evoliz 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. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Evoliz for Vercel AI SDK
Every tool call from Vercel AI SDK to the Evoliz MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Evoliz API Token?
Log in to your account, navigate to Settings > API, and generate or copy your unique access token.
Does the agent send invoices automatically?
No. The agent creates invoices as drafts. You must send them via the Evoliz interface or configure automation rules in your dashboard.
Can I check my product catalog via AI?
Yes! Use the list_articles tool to retrieve your complete directory of products and services, including pricing and metadata.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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