3,400+ MCP servers ready to use
Vinkius

Bring Cloud Telephony
to Vercel AI SDK

Learn how to connect Kavkom to Vercel AI SDK and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create ContactGet Call DetailsList CallsList Crm ContactsList Sms HistoryList Team MembersSend Sms Message
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Kavkom MCP Server?

Connect your Kavkom account to any AI agent and manage phone communications through natural conversation.

What you can do

  • Contact Management — List and inspect contacts with call history
  • Call Logs — Browse call history with duration, direction, and status
  • Phone Lines — List available phone lines and their assignments
  • Voicemail — Access voicemail messages with transcripts
  • Call Recordings — Retrieve and review call recordings

How it works

1. Subscribe to this server
2. Enter your Kavkom API Token
3. Start managing calls from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Sales Teams — track call activity and manage contacts
  • Support Teams — review call logs and voicemails
  • Managers — monitor team phone usage and performance

Built-in capabilities (7)

create_contact

Add a new contact

get_call_details

Get details for a specific call

list_calls

List Kavkom call history

list_crm_contacts

List synced contacts

list_sms_history

List sent and received SMS

list_team_members

List account users

send_sms_message

Send an SMS message

Why Vercel AI SDK?

The Vercel AI SDK gives every Kavkom tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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

  • —

    Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Kavkom integration everywhere

  • —

    Built-in streaming UI primitives let you display Kavkom tool results progressively in React, Svelte, or Vue components

  • —

    Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Kavkom in Vercel AI SDK

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Kavkom and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Kavkom 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for Vercel AI SDK →
Enterprise Security

Why teams choose Vinkius for Kavkom in Vercel AI SDK

The Kavkom 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 7 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.

Use with Your AI Agent View full Kavkom details →
Kavkom
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Kavkom for Vercel AI SDK

Every tool call from Vercel AI SDK to the Kavkom MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I view call logs and recordings?

Yes. Browse call history with filters for direction, duration, and status. Access call recordings with metadata for any logged call.

02

Can I access voicemail messages?

Yes. List voicemail messages with caller info, timestamps, and transcripts when available.

03

Can I manage phone lines and their assignments?

Yes. List all phone lines with their numbers, assignments, and status.

04

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.

05

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.

06

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.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp