Bring Ad Server
to Vercel AI SDK
Learn how to connect AdButler to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the AdButler MCP Server?
Connect your AdButler account to any AI agent and take full control of your ad server orchestration and automated display advertising through natural conversation.
What you can do
- Campaign & Ad Portfolio Orchestration — List and manage your entire high-fidelity portfolio of advertisers and campaigns programmatically, retrieving detailed technical metadata
- Banner & Creative Intelligence — Programmatically retrieve directories of banners and access complete high-fidelity asset metadata to coordinate your organizational broadcasting
- Performance Architecture Monitoring — Access real-time status updates for active banners and track impression/click metrics directly through your agent
- Metadata Management — Programmatically retrieve high-fidelity zone IDs and publisher metadata to maintain a perfectly coordinated ad inventory record
- Operational Monitoring — Verify account-level API connectivity and monitor orchestration volume directly through your agent for perfectly coordinated service scaling
How it works
1. Subscribe to this server
2. Retrieve your API Key from your AdButler dashboard (Settings > API Access)
3. Start orchestrating your ad growth from Claude, Cursor, or any MCP client
No more manual checking of individual banner performance or missing campaign expiration alerts. Your AI acts as your dedicated ad coordinator and inventory architect.
Who is this for?
- Ad Ops Managers — instantly retrieve campaign summaries and monitor ad health using natural language commands
- Publishers — verify individual zone metadata and track inventory filling without leaving your creative workspace
- Developers — integrate high-speed AdButler data into custom dashboards and reporting tools through simple AI queries
Built-in capabilities (10)
Verify AdButler API connectivity
Get advertiser details
Get campaign details
Get ad serving statistics
List all advertisers
List ad items in a campaign
List all campaigns
List all placements
List all publishers
List all ad zones
Why Vercel AI SDK?
The Vercel AI SDK gives every AdButler tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 AdButler integration everywhere
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Built-in streaming UI primitives let you display AdButler 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
AdButler in Vercel AI SDK
AdButler and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect AdButler 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 AdButler in Vercel AI SDK
The AdButler 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 10 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
AdButler for Vercel AI SDK
Every tool call from Vercel AI SDK to the AdButler 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 AdButler API Key?
Log in to your account, navigate to Settings > API Access, and copy your unique API Key from the credentials section.
Can I check ad performance via AI?
Yes! The get_stats tool retrieves impression and click data for all your active banners and campaigns.
How do I list my advertisers?
Use the list_advertisers tool to retrieve all advertiser profiles with their unique identifiers.
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