Bring Aidbase
to Vercel AI SDK
Learn how to connect Aidbase to Vercel AI SDK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Aidbase MCP Server?
Connect your Aidbase account to any AI agent and take full control of your automated customer support and intelligent knowledge management workflows through natural conversation.
What you can do
- Chatbot Orchestration — List and manage all configured AI chatbots programmatically, retrieving detailed high-fidelity metadata and configuration settings in real-time
- Knowledge Graph Ingestion — Programmatically update what your AI knows by pushing new website URLs or injecting specific Q&A items into existing FAQs dynamically
- Conversational Intelligence — Send messages and retrieve high-fidelity AI responses from specific chatbots to test performance or integrate chat into custom workflows
- AI Email Inbox Management — Access and monitor your automated email responders and their assigned knowledge bases to ensure perfectly coordinated context application
- Operational Monitoring — Verify API connectivity and retrieve account-level status directly through your agent for instant performance reporting
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Aidbase dashboard (Settings > API Keys)
3. Start orchestrating your customer service intelligence from Claude, Cursor, or any MCP client
No more manual logging into support portals to update FAQs or check bot logs. Your AI acts as your dedicated support engineer and knowledge architect.
Who is this for?
- Customer Support Leads — instantly update AI knowledge bases with fresh documentation using natural language commands
- Product Managers — monitor chatbot interactions and verify responder accuracy without leaving your workspace
- Developers — integrate high-speed AI support intelligence into custom internal tools through simple AI queries
Built-in capabilities (11)
Add FAQ to knowledge base
Add a website to knowledge base
Check API Status
Get Chatbot details
Get AI Inbox details
List Chatbot knowledge items
List all AI Chatbots
List Inbox knowledge items
List Email AI Inboxes
List all Knowledge items
Send a message to a Chatbot
Why Vercel AI SDK?
The Vercel AI SDK gives every Aidbase tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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 Aidbase integration everywhere
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Built-in streaming UI primitives let you display Aidbase 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
Aidbase in Vercel AI SDK
Aidbase and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Aidbase 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 Aidbase in Vercel AI SDK
The Aidbase 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 11 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
Aidbase for Vercel AI SDK
Every tool call from Vercel AI SDK to the Aidbase 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 Aidbase API Key?
Log in to your account, navigate to Settings > API Keys, and generate a new key for your integration.
Can I test bot responses via AI?
Yes! The send_aidbase_reply tool allows your agent to interact with specific bots and retrieve high-fidelity AI responses programmatically.
How do I teach the AI a new URL?
Use the add_aidbase_website_knowledge tool and provide the target URL. Aidbase will automatically crawl and index the content for your bots.
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