Bring Lead Nurturing
to Vercel AI SDK
Learn how to connect VBOUT 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.
What is the VBOUT MCP Server?
Connect your VBOUT marketing automation account to any AI agent and simplify how you manage your lead lifecycle, multi-channel campaigns, and social presence through natural conversation.
What you can do
- Lead Management — List and search contacts, and add new leads to specific email marketing lists instantly.
- Automation Control — Query and trigger marketing automation workflows for specific contacts to scale your engagement.
- Campaign Monitoring — List active and past marketing campaigns to track your commercial efforts.
- Social Scheduling — Create and publish social media posts directly from your workspace via AI commands.
- E-commerce Sync — Log customer orders into VBOUT to power lifecycle marketing and personalized segments.
How it works
1. Subscribe to this server
2. Enter your VBOUT API Key (found in your account settings under API)
3. Start managing your marketing engine from Claude, Cursor, or any MCP client
Who is this for?
- Marketing Managers — quickly check campaign statuses and publish social updates via simple AI queries.
- Sales Teams — add new leads to nurture workflows and retrieve contact details without leaving the CRM or workspace.
- E-commerce Owners — sync order data and monitor customer engagement levels directly from the AI assistant.
Built-in capabilities (9)
Requires email and list_id. Add a contact to a list
Add an e-commerce order
Create a social media post
Get contact details
List marketing campaigns
List VBOUT email marketing lists
List automation workflows
Search for contacts
Trigger a workflow for a contact
Why Vercel AI SDK?
The Vercel AI SDK gives every VBOUT 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.
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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 VBOUT integration everywhere
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Built-in streaming UI primitives let you display VBOUT 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
VBOUT in Vercel AI SDK
VBOUT and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect VBOUT 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 | 3,400+ 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 VBOUT in Vercel AI SDK
The VBOUT 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
VBOUT for Vercel AI SDK
Every tool call from Vercel AI SDK to the VBOUT MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for a specific contact using a keyword?
Yes! Use the search_contacts tool and provide your keyword. The agent will return matching contacts from your VBOUT database.
How do I trigger an automation for a new lead?
Use the trigger_workflow action. You'll need the Workflow ID and the contact's email address to start the automation manually via AI.
Is it possible to post to my social channels directly?
Absolutely. Use the create_social_post tool, provide your content and an optional link. VBOUT will handle the publishing to your connected profiles.
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