Telebroad MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Get Profile, Get Sms Messages, Hangup Call, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Telebroad 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 Telebroad app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 12 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: {
"telebroad": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Telebroad Agent",
instructions:
"You help users interact with Telebroad " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Telebroad?"
);
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 Telebroad MCP Server
Connect your Telebroad business communication account to any AI agent and simplify how you manage your phone system, SMS outreach, and digital faxes through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Telebroad tool infrastructure. Connect 12 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
- Call Management — Initiate voice calls, list active calls, and retrieve a complete history of incoming, outgoing, and missed calls.
- SMS Automation — List authorized SMS lines, query conversation threads, and send text messages directly via AI commands.
- Fax Handling — List received and sent faxes, and send PDF documents as digital faxes from your authorized lines.
- Team Coordination — Query the internal phone directory to find extensions and team member destinations.
- Profile Oversight — Retrieve detailed profile metadata including extensions, lines, and user settings.
- Operational Tracking — Monitor your cloud telephony and messaging activities in real-time.
The Telebroad MCP Server exposes 12 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 12 Telebroad tools available for Mastra AI
When Mastra AI connects to Telebroad through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-pbx, business-phone, sms-outreach, 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.
Get the current Telebroad user profile
Get messages from a specific SMS conversation
Hang up an active call
List currently active calls
List call history logs
List faxes
List internal phone destinations (extensions)
List SMS conversations
List available SMS lines
Initiate a voice call
Send a fax
Send an SMS message
Connect Telebroad to Mastra AI via MCP
Follow these steps to wire Telebroad 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 Telebroad MCP Server
Mastra AI provides unique advantages when paired with Telebroad through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Telebroad 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 Telebroad 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
Telebroad + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Telebroad MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Telebroad, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Telebroad as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Telebroad on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Telebroad tools alongside other MCP servers
Example Prompts for Telebroad in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Telebroad immediately.
"Show me my recent call history."
"Send an SMS from my line +15550100 to +15550188: 'Meeting at 2 PM'."
"List all internal extensions in my company."
Troubleshooting Telebroad MCP Server with Mastra AI
Common issues when connecting Telebroad to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTelebroad + Mastra AI FAQ
Common questions about integrating Telebroad 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.