How to Use the Formilla MCP in Mastra AI

Q: How do I initialize Formilla in Mastra AI?

Install the latest @mastra/mcp package. Instantiate a new MCPClient with your server URL, then call mcpClient.listTools() to inject them into your agent.

Q: Can I require human approval before deleting a Formilla contact in Mastra AI?

You absolutely can. Set the requireToolApproval flag on your agent. It will pause execution before running deletecontact until an admin signs off.

Build resilient workflows that sync contacts and manage chat queues using Mastra AI.

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Connect Formilla MCP to Mastra AI

Create your Vinkius account to connect Formilla 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.

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Setup Formilla with Mastra AI

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Perplexity

Formilla MCP Server workflow logic

Customer support APIs fail sometimes. When you build a sync pipeline with Mastra AI, you get built-in exponential backoff. If `upsert_contact` hits a rate limit, the framework waits and tries again automatically. You can string multiple operations together. A workflow might start by running `check_formilla_status`. If the API is up, it proceeds to pull new messages using `list_conversations`. If it is down, it halts the run and alerts your team.

Branching logic for support tickets

Stop writing messy if-statements for your customer data. You can design an agent that calls `get_contact_by_email` to check if a user exists in your database. Based on that response, the workflow branches. If the user exists, it fires `update_contact` with their new details. If they are missing, it routes down a different path and executes `upsert_contact` to build a fresh profile.

Automate visitor segmentation

Track who is on your website without manual exports. Set up a scheduled Mastra workflow that triggers `list_visitors` through the MCP Server every hour to pull the active browsing session data. The agent can then evaluate those visitors against your criteria. It can run `list_segments` to categorize the traffic, helping your sales team identify high-value prospects automatically.

Setup guide

Set up Formilla MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. 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's tools object. All Formilla tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "formilla-mcp-client",
  servers: {
    "formilla-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Formilla Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Formilla tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Formilla transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Formilla. 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.

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Common questions about Formilla MCP in Mastra AI

Install the latest `@mastra/mcp` package. Instantiate a new `MCPClient` with your server URL, then call `mcpClient.listTools()` to inject them into your agent.

Yes. The framework includes automatic retries with exponential backoff. If a tool like `list_contacts` fails due to traffic spikes, it will pause and retry.

No. The framework auto-detects whether your endpoint uses Streamable HTTP or Server-Sent Events (SSE) and connects accordingly.

You absolutely can. Set the `requireToolApproval` flag on your agent. It will pause execution before running `delete_contact` until an admin signs off.

Very secure. When Mastra pulls email addresses and chat histories via the MCP Server, the data stays within your execution environment. We do not persist your customer records at the transport layer.

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