Lucidya MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Lucidya through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Lucidya Assistant",
instructions=(
"You help users interact with Lucidya. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Lucidya"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Lucidya MCP Server
Connect your Lucidya account to any AI agent to automate your social listening and customer engineering intelligence. This MCP server enables your agent to list monitors, analyze text sentiment using advanced AI, and retrieve unified customer profiles directly from natural language interfaces.
The OpenAI Agents SDK auto-discovers all 7 tools from Lucidya through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Lucidya, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Social Listening — List all active and inactive monitors across Twitter, Instagram, and other sources
- AI Analysis — Perform advanced sentiment analysis and Arabic dialect detection on any text string
- CDP Access — Retrieve unified customer profiles and interaction histories from the Lucidya Customer Data Platform
- Service Analytics — Query KPIs and performance metrics for customer service via the OmniServe API
- Real-time Monitoring — Fetch complete metadata and status for your configured listening monitors
The Lucidya MCP Server exposes 7 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Lucidya to OpenAI Agents SDK via MCP
Follow these steps to integrate the Lucidya MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 7 tools from Lucidya
Why Use OpenAI Agents SDK with the Lucidya MCP Server
OpenAI Agents SDK provides unique advantages when paired with Lucidya through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Lucidya + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Lucidya MCP Server delivers measurable value.
Automated workflows: build agents that query Lucidya, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Lucidya, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Lucidya tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Lucidya to resolve tickets, look up records, and update statuses without human intervention
Lucidya MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Lucidya to OpenAI Agents SDK via MCP:
analyze_text_sentiment
Analyze the sentiment of a given text
detect_arabic_dialect
Detect the specific Arabic dialect of a text
get_customer_profile
Get complete details for a customer profile
get_monitor_details
Get details for a specific monitor
get_omniserve_analytics
Query customer service analytics KPIs
list_cdp_customers
List customer profiles from CDP
list_social_monitors
List all social media monitors
Example Prompts for Lucidya in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Lucidya immediately.
"List all my social media monitors in Lucidya."
"Analyze the sentiment of this text: 'I am extremely happy with the new product release!'."
"Show the customer profile for ID 'cust-123' in the Lucidya CDP."
Troubleshooting Lucidya MCP Server with OpenAI Agents SDK
Common issues when connecting Lucidya to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Lucidya + OpenAI Agents SDK FAQ
Common questions about integrating Lucidya MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Lucidya with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lucidya to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.