How to Use the Lucidya MCP in OpenAI Agents SDK

Q: How does the Lucidya dialect tool work within OpenAI Agents SDK workflows?

The agent calls detectarabicdialect to classify the origin of a social media post before deciding how to draft a response. The OpenAI Agents SDK validates the agent's action against your defined guardrails to ensure the detected dialect matches the intended regional response template.

Q: Can I use this server to retrieve customer profiles securely?

You use getcustomerprofile and listcdpcustomers to fetch complete customer records securely. The Vinkius platform handles the underlying API authentication, meaning your OpenAI agents only need a single endpoint token to read customer profiles.

Build production-ready Arabic-market social agents with OpenAI Agents SDK and the Lucidya MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Lucidya MCP to OpenAI Agents SDK

Create your Vinkius account to connect Lucidya 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.

GDPR Free for Subscribers

Setup Lucidya with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run dialect-aware sentiment analysis with OpenAI Agents SDK

`detect_arabic_dialect` lets your OpenAI agents identify regional Arabic variations before running sentiment models. You pass raw text to this tool, and it returns the specific dialect, allowing your agent to route the text correctly. This stops generic translation models from misinterpreting localized slang or idioms in Middle Eastern markets. Once the dialect is locked in, the agent calls `analyze_text_sentiment` to score the emotional tone of the post. Because you are using the OpenAI Agents SDK, these tool calls are tracked in your dashboard, giving you clear visibility into how your autonomous agents process regional customer feedback.

Audit customer service metrics directly inside agent loops

`get_omniserve_analytics` pulls customer service KPIs straight into your OpenAI agent context for rapid decision-making. The tool extracts hard performance metrics from your Lucidya support channels. Your agent can read these metrics to flag slow response times or sudden spikes in ticket volume. You can set up specialized agents that hand off tasks when KPIs drop below a certain threshold. The SDK handles these agent-to-agent transfers safely, ensuring your analytics data triggers immediate, structured escalations without human intervention.

Map social media monitors to actual CDP profiles

`list_social_monitors` fetches active tracking streams so your OpenAI agents can watch brand mentions in real time. The tool returns active monitors, which your agent then uses to query specific customer details via `get_customer_profile`. This connects high-level social noise to actual customer records in your CDP. By running this MCP Server on Vinkius, your production agents access these tools over a secure HTTP connection, keeping customer records isolated from the public internet.

Setup guide

Set up Lucidya 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 Lucidya tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Lucidya 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="Lucidya Agent",
            instructions="You have access to Lucidya 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 Lucidya. 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.

Connect Lucidya now

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 Lucidya MCP in OpenAI Agents SDK

Install the SDK via pip and initialize the MCPServerStreamableHttp class with your Vinkius endpoint URL. Pass this server instance inside the mcp_servers list when constructing your agent. The SDK automatically discovers all seven Lucidya tools, including the dialect and sentiment analysis endpoints, with zero manual schema definition.

Yes, by setting cacheToolsList to True in your SDK configuration, you prevent redundant schema fetches during heavy monitoring loops. This ensures your agents can call `list_social_monitors` and `get_monitor_details` rapidly without hitting performance bottlenecks.

The agent calls `detect_arabic_dialect` to classify the origin of a social media post before deciding how to draft a response. The OpenAI Agents SDK validates the agent's action against your defined guardrails to ensure the detected dialect matches the intended regional response template.

You use `get_customer_profile` and `list_cdp_customers` to fetch complete customer records securely. The Vinkius platform handles the underlying API authentication, meaning your OpenAI agents only need a single endpoint token to read customer profiles.

Your CDP customer profiles and social media monitor data are protected by running the server inside an ephemeral V8 sandbox on Vinkius. The OpenAI Agents SDK communicates with the server over an encrypted HTTPS transport, ensuring that sensitive customer records are never exposed or stored outside your secure environment.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript