How to Use the Dalil AI MCP in OpenAI Agents SDK

Build culturally aware agents for the Middle East using Dalil AI and the OpenAI Agents SDK.

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Connect Dalil AI MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dalil AI to OpenAI Agents SDK 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 OpenAI Agents SDK

Ask AI about this MCP

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Claude

Perplexity

Automated outreach with OpenAI Agents SDK

Trigger `send_linkedin_message` directly from your agent logic to handle business communications. You get the benefit of native Arabic language processing without writing custom wrappers. This MCP Server handles the connection while your agent manages the pacing. It keeps your pipeline moving without manual intervention.

Targeted lead discovery

Your agent queries `list_companies` and `list_contacts` to map out your outreach territory. It processes these lists against your specific criteria before taking action. Everything stays within your agent's memory scope. You avoid the mess of manual data entry by letting the system pull records directly from Dalil AI.

Real-time buying signal analysis

Call `get_contact_signals` to see if a prospect is ready for a pitch. You can adjust your messaging based on these signals before the agent hits send. This tool feeds data back into your guardrails. It prevents your agent from pinging cold leads.

Setup guide

Set up Dalil AI MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Dalil AI tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Dalil AI tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Dalil AI tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Dalil AI Agent",
            instructions="You have access to Dalil AI tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

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 OpenAI Agents SDK

It acts as a direct bridge. You connect the endpoint to your agent, and the tools become available for your logic to execute.

Yes. The server is built for Middle Eastern markets. Your agent will process native Arabic nuances without translation lag.

Absolutely. Every tool call shows up in your dashboard. You track exactly what the agent sends and why.

The agent catches the error immediately. Since it's built for production, you handle the failure in your standard code block.

We use encrypted tokens for every request. No raw data sits on our servers after the transaction finishes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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