Bring Cloud Pbx
to Vercel AI SDK
Learn how to connect Callpicker 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 Callpicker MCP Server?
Connect your Callpicker account to any AI agent and take full control of your cloud-based business telephony and virtual PBX workflows through natural conversation.
What you can do
- Call Orchestration — Programmatically initiate high-fidelity phone calls from your virtual PBX numbers to any destination worldwide directly through your agent
- Communication Intelligence — Monitor real-time incoming and outgoing call history and retrieve detailed logs and high-fidelity Call Detail Records (CDR)
- Recording Management — Access and retrieve secure download URLs for call recordings to maintain high-fidelity oversight of customer interactions
- PBX & Extension Architecture — Access your complete directory of virtual phone numbers and PBX extensions to coordinate your internal communication structure
- Operational Monitoring — Check real-time system status and generate performance reports over specific date ranges directly through your agent
How it works
1. Subscribe to this server
2. Retrieve your Client ID and Client Secret from the Callpicker Portal (Configuration > API)
3. Start managing your business voice pipeline from Claude, Cursor, or any MCP client
No more manual logging of phone results or digging through complex PBX portals. Your AI acts as your dedicated telephony engineer and voice coordinator.
Who is this for?
- Sales & Support Teams — instantly initiate calls to leads and retrieve conversation recordings using natural language commands
- Operations Managers — monitor PBX system health and automate call log analysis without leaving your workspace
- Developers — integrate high-speed virtual calling and CDR data into custom workflows through simple AI queries
Built-in capabilities (9)
Get details for a specific call
Get Call Detail Records (CDR)
Check PBX system status
Get the download URL for a recording
List recent call logs
List available call recordings
List PBX extensions
List virtual phone numbers
Initiate a phone call
Why Vercel AI SDK?
The Vercel AI SDK gives every Callpicker 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 Callpicker integration everywhere
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Built-in streaming UI primitives let you display Callpicker 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
Callpicker in Vercel AI SDK
Callpicker and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Callpicker 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 Callpicker in Vercel AI SDK
The Callpicker 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
Callpicker for Vercel AI SDK
Every tool call from Vercel AI SDK to the Callpicker 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 Callpicker Client ID and Secret?
Log in to the Callpicker Portal, navigate to Configuration > API, and generate your credentials.
Can I retrieve call recordings via AI?
Yes! The get_recording_url tool provides a temporary secure link to play or download any recorded interaction in your account.
How do I check my virtual numbers?
Use the list_virtual_numbers tool to retrieve your complete directory of active virtual phone numbers programmatically.
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