Uniphore Conversation AI MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Uniphore Conversation AI 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 Uniphore Conversation AI, 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 Uniphore Conversation AI MCP Server
Connect Uniphore to any AI agent and unlock powerful conversation intelligence -- retrieve meeting transcripts, AI-generated summaries, action items, and analytics through natural conversation.
The Vercel AI SDK gives every Uniphore Conversation AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Meeting Transcripts -- Get speaker-tagged transcripts of any recorded call or meeting
- AI Summaries -- Retrieve concise summaries of key discussion points
- Action Items -- Extract next steps and tasks identified during meetings
- Conversation Analytics -- View talk ratios, sentiment, topics, and engagement metrics
- Search Meetings -- Find past meetings by keyword or topic discussed
The Uniphore Conversation AI MCP Server exposes 8 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 Uniphore Conversation AI to Vercel AI SDK via MCP
Follow these steps to integrate the Uniphore Conversation AI 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 8 tools from Uniphore Conversation AI and passes them to the LLM
Why Use Vercel AI SDK with the Uniphore Conversation AI MCP Server
Vercel AI SDK provides unique advantages when paired with Uniphore Conversation AI 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 Uniphore Conversation AI integration everywhere
Built-in streaming UI primitives let you display Uniphore Conversation AI 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
Uniphore Conversation AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Uniphore Conversation AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Uniphore Conversation AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Uniphore Conversation AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Uniphore Conversation AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Uniphore Conversation AI through natural language queries
Uniphore Conversation AI MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Uniphore Conversation AI to Vercel AI SDK via MCP:
get_action_items
Get action items extracted from a meeting
get_meeting
Get details of a specific meeting
get_meeting_analytics
Get conversation analytics and insights for a meeting
get_meeting_summary
Get the AI-generated summary of a meeting
get_transcript
Get the full transcript of a meeting
list_meetings
Use this to discover meeting IDs before querying specific details. List all recorded meetings and calls
list_topics
List all tracked topics and keywords in the organization
search_meetings
Search meetings by keyword or topic
Example Prompts for Uniphore Conversation AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Uniphore Conversation AI immediately.
"Show me the summary for meeting MTG-123."
"Get the transcript for meeting MTG-456."
"What are the action items from the last sales call?"
Troubleshooting Uniphore Conversation AI MCP Server with Vercel AI SDK
Common issues when connecting Uniphore Conversation AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUniphore Conversation AI + Vercel AI SDK FAQ
Common questions about integrating Uniphore Conversation AI 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 Uniphore Conversation AI 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 Uniphore Conversation AI to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.