Bring Sms Marketing
to Vercel AI SDK
Create your Vinkius account to connect CallFire to Vercel AI SDK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the CallFire MCP Server?
Connect your CallFire account to any AI agent and orchestrate your voice and SMS communications, campaign tracking, and contact engagement through natural conversation.
What you can do
- SMS Dispatch — Send single or bulk SMS messages to your customers directly from your workspace.
- Voice Call Management — Trigger individual voice calls and monitor the status of sent calls in real-time.
- Campaign Oversight — List and retrieve metadata for your campaign sounds and verify your communication setups.
- Keyword Management — List and monitor your rented keywords for SMS interaction.
- Automation Tracking — Access and monitor your active webhooks to ensure your integrations are healthy.
- Account Insights — Retrieve core profile and site information straight from your workspace.
How it works
- Subscribe to this server
- Enter your CallFire API Username and Password
- Start managing your communications from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Marketing Teams — quickly send SMS notifications or alerts without manual portal work.
- Sales & Support — trigger follow-up calls or check message statuses straight from their workflow tools.
- Ops Managers — monitor campaign assets and webhook health using natural language.
Built-in capabilities (10)
Retrieve core account information
Get details of a specific call
Get details of a specific SMS
List made voice calls
List configured campaign sounds
List rented keywords
List sent SMS messages
List active webhooks
Send an SMS message
Trigger a single voice call
Why Vercel AI SDK?
The Vercel AI SDK gives every CallFire 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.
- —
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 CallFire integration everywhere
- —
Built-in streaming UI primitives let you display CallFire 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
CallFire in Vercel AI SDK
Why run CallFire with Vinkius?
The CallFire connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect CallFire using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
CallFire and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect CallFire to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
CallFire for Vercel AI SDK
Every request between Vercel AI SDK and CallFire is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I send an SMS using the agent?
Yes! Use the send_sms tool with the recipient's phone number and your message content. Your agent will trigger the dispatch through CallFire instantly.
How do I check the status of a specific call?
Simply ask the agent to get_call_details and provide the Call ID. It will retrieve the latest status, such as 'finished' or 'failed', directly from CallFire.
Does the integration allow creating a new voice broadcast?
The current toolset is focused on individual actions and querying (Read-Only/Individual Dispatch) for operational control. Massive broadcasts should be configured via the CallFire web dashboard.
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
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