How do I find my API Token?

Log in to your Lucidya account and navigate to Account Settings or API section to generate and copy your unique authorization token.

Does the AI analysis work for languages other than English?

Yes, Lucidya's AI is highly optimized for multiple languages, with specific advanced support for various Arabic dialects.

Can I retrieve historical social data?

You can retrieve any data that has been captured by your active monitors. Use the `monitor_details` tool to check what is currently being monitored.

Lucidya MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: Lucidya
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to Lucidya through Vinkius, pass the Edge URL in the `mcps` parameter and every Lucidya tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Lucidya Specialist",
    goal="Help users interact with Lucidya effectively",
    backstory=(
        "You are an expert at leveraging Lucidya tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Lucidya "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Lucidya becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Lucidya tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Lucidya MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 7 tools from Lucidya

Why Use CrewAI with the Lucidya MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Lucidya through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Lucidya + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Lucidya MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Lucidya for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Lucidya, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Lucidya tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Lucidya against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Lucidya MCP Tools for CrewAI (7)

These 7 tools become available when you connect Lucidya to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Lucidya to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Lucidya + CrewAI FAQ

Common questions about integrating Lucidya MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.