TextGrid MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Check Api Health, Get Account Details, Get Message Details, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect TextGrid 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 TextGrid 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: {
"textgrid": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "TextGrid Agent",
instructions:
"You help users interact with TextGrid " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with TextGrid?"
);
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 TextGrid MCP Server
Connect your TextGrid account to any AI agent and simplify how you manage your cloud telephony, global messaging, and communication logs through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and TextGrid 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
- Global Messaging — Send instant SMS and MMS messages to recipients worldwide with full status tracking.
- Voice Call Control — Initiate outbound voice calls and retrieve a complete history of inbound and outbound communication.
- Phone Number Management — List your active numbers and search for new available phone numbers across different countries.
- Usage & Cost Tracking — Retrieve detailed usage statistics and records to monitor your communication budget.
- Account Oversight — Fetch account metadata, API keys, and physical addresses for regulatory compliance.
- Operational Monitoring — Check API health and verify connectivity directly from the agent.
The TextGrid 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 TextGrid tools available for Mastra AI
When Mastra AI connects to TextGrid through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-telephony, sms-api, voice-api, 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.
Verify Textgrid API status
Get account profile and balance
Get details for a specific message
Retrieve usage and cost records
Start a new voice call
List addresses for regulatory compliance
List your active phone numbers
List account API keys
List sent and received SMS messages
List voice call history
Search for new phone numbers
Send a new SMS or MMS
Connect TextGrid to Mastra AI via MCP
Follow these steps to wire TextGrid 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 TextGrid MCP Server
Mastra AI provides unique advantages when paired with TextGrid through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add TextGrid 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 TextGrid 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
TextGrid + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the TextGrid MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query TextGrid, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed TextGrid as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query TextGrid on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using TextGrid tools alongside other MCP servers
Example Prompts for TextGrid in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with TextGrid immediately.
"Send an SMS to +15550199 saying 'Your verification code is 12345'."
"Show me the last 3 voice calls from my history."
"Search for available mobile numbers in the United Kingdom."
Troubleshooting TextGrid MCP Server with Mastra AI
Common issues when connecting TextGrid to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTextGrid + Mastra AI FAQ
Common questions about integrating TextGrid 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.