Polaria MCP Server for Mastra AIGive Mastra AI instant access to 8 tools to Add Chat Message, Create Contact, Get Contact, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Polaria through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Polaria app connector for Mastra AI is a standout in the Communication Messaging category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"polaria": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Polaria Agent",
instructions:
"You help users interact with Polaria " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Polaria?"
);
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 Polaria MCP Server
Transform your customer support operations by connecting Polaria directly to your AI agent. Let your assistant automatically retrieve relevant help articles, instantly respond to customer conversations, and efficiently manage your user directory without navigating away from your central workspace.
Mastra's agent abstraction provides a clean separation between LLM logic and Polaria tool infrastructure. Connect 8 tools through 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
- Access and organize your entire customer contact database
- Read and respond to live chat conversations instantly
- Update the status of support tickets (Open, Pending, Resolved)
- Retrieve FAQ articles to resolve customer inquiries faster
- Manage custom attributes for targeted support
Who is it for?
Ideal for customer success teams, support agents, and community managers who want to resolve user queries faster and automate repetitive chat tasks.The Polaria 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.
All 8 Polaria tools available for Mastra AI
When Mastra AI connects to Polaria through Vinkius, your AI agent gets direct access to every tool listed below — spanning contact-management, conversational-ai, faq-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a message to a conversation
Create a new contact in Polaria
Get details of a specific contact
Get details of a specific conversation
List contacts in Polaria
List conversations in Polaria
List FAQs in Polaria
List Polaria widgets
Connect Polaria to Mastra AI via MCP
Follow these steps to wire Polaria into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Polaria MCP Server
Mastra AI provides unique advantages when paired with Polaria through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Polaria 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 Polaria 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
Polaria + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Polaria MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Polaria, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Polaria as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Polaria on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Polaria tools alongside other MCP servers
Example Prompts for Polaria in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Polaria immediately.
"List all contacts in Polaria."
"Show recent chat conversations."
"Add a reply message to conversation 'C123'."
Troubleshooting Polaria MCP Server with Mastra AI
Common issues when connecting Polaria to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPolaria + Mastra AI FAQ
Common questions about integrating Polaria 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.