Lucidya MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Lucidya as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Lucidya. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Lucidya?"
)
print(response)
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.
LlamaIndex agents combine Lucidya tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Lucidya MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 7 tools from Lucidya
Why Use LlamaIndex with the Lucidya MCP Server
LlamaIndex provides unique advantages when paired with Lucidya through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Lucidya tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Lucidya tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Lucidya, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Lucidya tools were called, what data was returned, and how it influenced the final answer
Lucidya + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Lucidya MCP Server delivers measurable value.
Hybrid search: combine Lucidya real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Lucidya to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Lucidya for fresh data
Analytical workflows: chain Lucidya queries with LlamaIndex's data connectors to build multi-source analytical reports
Lucidya MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Lucidya to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Lucidya to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLucidya + LlamaIndex FAQ
Common questions about integrating Lucidya MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.