How to Use the MessageFlow MCP in Mastra AI
Build resilient message workflows in Mastra AI with automatic retries and conditional logic powered by MessageFlow.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MessageFlow MCP to Mastra AI
Create your Vinkius account to connect MessageFlow to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated messaging workflows
Chain together `list_channels` and `send_whatsapp` within your agent workflows. If a message fails, the framework handles the retry logic automatically. Build complex sequences that check your `get_account_balance` before firing off high-volume notifications. You get a reliable pipeline that handles edge cases without manual intervention.
Conditional message routing
Use the output of `list_messages` to inform your agent's next move. If a message isn't delivered, the agent can switch to a different channel using `send_sms`. Define your logic in code and let the agent navigate the decision tree. It's a clean way to manage multi-step communication processes that require human-in-the-loop approval.
Stateful message management
Keep track of your entire communication history using `list_messages`. The agent can review past interactions to inform current responses. Query specific templates with `get_template` to ensure your automated replies stay on brand. Every action is logged and retrievable, giving you a full audit trail for your operations.
Set up MessageFlow MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All MessageFlow tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "messageflow-mcp-client",
servers: {
"messageflow-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "MessageFlow Agent",
model: openai("gpt-4o"),
instructions: "You have access to MessageFlow tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent MessageFlow transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MessageFlow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about MessageFlow MCP in Mastra AI
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