How to Use the Dalil AI MCP in Mastra AI

Build resilient, multi-step Arabic outreach workflows with Mastra AI and automatic conditional routing.

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Connect Dalil AI MCP to Mastra AI

Create your Vinkius account to connect Dalil AI 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 Dalil AI with Mastra AI

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Automate lead generation workflows

Dropping leads into a database shouldn't require manual oversight. Mastra AI lets you chain operations together, starting with `create_contact` to log new Middle Eastern prospects. If the API times out, the framework automatically retries with exponential backoff. Once the record exists, the workflow immediately moves to the next node. The agent triggers `list_companies` to match the new contact against your existing accounts. Failed matches trigger a fallback sequence instead of crashing the pipeline.

Route leads based on buying signals

Not every prospect deserves the same outreach strategy. By running `get_contact_signals`, your agent pulls Arabic-native intent data into the workflow state. You can then build conditional branches that route high-intent leads to sales reps and low-intent leads to nurture sequences. This MCP Server handles the cultural nuance while the framework handles the logic. If a signal indicates immediate readiness, the system bypasses standard delays and pushes the lead forward instantly.

Execute Mastra AI outreach campaigns

Sending messages requires strict error handling. When your workflow reaches the `send_linkedin_message` node, it dispatches culturally aware Arabic text to the prospect. You can wrap this tool in a requireToolApproval check to keep a human in the loop before anything goes out. Tracking success happens in the background. The agent periodically fires `list_campaigns` to monitor engagement rates. Everything deploys to your cloud provider with a single command.

Setup guide

Set up Dalil AI 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 Dalil AI 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: "dalil-ai-mcp-client",
  servers: {
    "dalil-ai-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Dalil AI 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 Dalil AI. 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 Dalil AI MCP in Mastra AI

Initialize an MCPClient instance with your Vinkius URL. Call mcpClient.listTools() to extract the available operations. Spread those tools directly into your Agent configuration.

The framework handles transient failures natively. If a LinkedIn message fails to send, the workflow engine applies exponential backoff and tries again. You define the maximum retry count in your workflow config.

You can enforce manual checks before any external action occurs. Setting requireToolApproval on the messaging tool pauses the workflow. An admin must click approve before the Arabic text actually sends.

The client auto-detects the best available transport. Vinkius provides Streamable HTTP by default, which works perfectly for these API calls. You don't need to configure SSE manually.

Your campaign data never persists on our infrastructure. The V8 Isolate Sandbox spins up just to process the LinkedIn targets and shuts down immediately after. Mastra passes the payload through an ephemeral, zero-trust tunnel.

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