Freshcaller MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Freshcaller through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Freshcaller, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About Freshcaller MCP Server
Connect your Freshcaller (now Freshdesk Contact Center) account to any AI agent to automate your cloud telephony and contact center management through the Model Context Protocol (MCP). Freshcaller is a modern phone system that enables teams to handle customer calls across the globe with zero hardware. This MCP server enables you to track call logs, monitor agent performance, and retrieve recording links directly through natural conversation.
The Vercel AI SDK gives every Freshcaller tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Call Oversight — List all inbound and outbound calls, fetch detailed metadata including duration and status, and monitor recent activity instantly.
- Agent Management — Access your database of users and agents to maintain full context of who is online and handling calls.
- Team Coordination — List configured agent teams and retrieve metadata for specific groups to optimize your routing.
- Recording Retrieval — Get direct links to call recordings for quality assurance and training purposes directly from your chat interface.
- Performance Metrics — Access real-time account metrics to understand call volumes and service levels across your organization.
- Number Inventory — List owned phone numbers and search for new available numbers to scale your global presence.
- Data Export — Monitor initiated export jobs to ensure your historical data is ready for deep analysis.
The Freshcaller MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Freshcaller to Vercel AI SDK via MCP
Follow these steps to integrate the Freshcaller MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Freshcaller and passes them to the LLM
Why Use Vercel AI SDK with the Freshcaller MCP Server
Vercel AI SDK provides unique advantages when paired with Freshcaller through the Model Context Protocol.
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 Freshcaller integration everywhere
Built-in streaming UI primitives let you display Freshcaller 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
Freshcaller + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Freshcaller MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Freshcaller in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Freshcaller tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Freshcaller capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Freshcaller through natural language queries
Freshcaller MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Freshcaller to Vercel AI SDK via MCP:
get_agent_details
Get agent metadata
get_call_details
Get call metadata
get_call_recording
Get recording link
get_export_status
Check export job
get_team_details
Get team metadata
list_account_metrics
Get call center metrics
list_agent_teams
List agent teams
list_agents
List call center agents
list_buyable_numbers
Search for phone numbers
list_calls
List recent phone calls
list_export_jobs
List data exports
list_my_numbers
List owned phone numbers
Example Prompts for Freshcaller in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Freshcaller immediately.
"List my 5 most recent calls and their duration."
"Show me the status of all agents in my support team."
"Get the recording link for call 'call_abc123'."
Troubleshooting Freshcaller MCP Server with Vercel AI SDK
Common issues when connecting Freshcaller to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFreshcaller + Vercel AI SDK FAQ
Common questions about integrating Freshcaller MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Freshcaller with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Freshcaller to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.