Uniphore Conversation AI MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Uniphore Conversation AI through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"uniphore-conversation-ai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Uniphore Conversation AI Agent",
instructions:
"You help users interact with Uniphore Conversation AI " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Uniphore Conversation AI?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Uniphore Conversation AI tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Uniphore Conversation AI MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Uniphore Conversation AI via MCP
Why Use Mastra AI with the Uniphore Conversation AI MCP Server
Mastra AI provides unique advantages when paired with Uniphore Conversation AI through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Uniphore Conversation AI without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Uniphore Conversation AI tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Uniphore Conversation AI + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Uniphore Conversation AI MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Uniphore Conversation AI, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Uniphore Conversation AI as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Uniphore Conversation AI on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Uniphore Conversation AI tools alongside other MCP servers
Uniphore Conversation AI MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Uniphore Conversation AI to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Uniphore Conversation AI to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpUniphore Conversation AI + Mastra AI FAQ
Common questions about integrating Uniphore Conversation AI MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.