Lucidya MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Lucidya through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"lucidya": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Lucidya, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Lucidya through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Lucidya MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 7 tools from Lucidya via MCP
Why Use LangChain with the Lucidya MCP Server
LangChain provides unique advantages when paired with Lucidya through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Lucidya MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Lucidya queries for multi-turn workflows
Lucidya + LangChain Use Cases
Practical scenarios where LangChain combined with the Lucidya MCP Server delivers measurable value.
RAG with live data: combine Lucidya tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Lucidya, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Lucidya tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Lucidya tool call, measure latency, and optimize your agent's performance
Lucidya MCP Tools for LangChain (7)
These 7 tools become available when you connect Lucidya to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Lucidya to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLucidya + LangChain FAQ
Common questions about integrating Lucidya MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.