How to Use the Lucidya MCP in CrewAI

Q: How do I filter tools for specific agents in CrewAI?

Use the toolfilter option in the MCP client setup. This limits which agents can access specific tools like customer profile lookups.

Deploy a specialized crew of agents to manage social data with CrewAI.

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Connect Lucidya MCP to CrewAI

Create your Vinkius account to connect Lucidya to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Lucidya with CrewAI

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Agent-led social monitoring for CrewAI

Assign a researcher agent to pull data with `list_social_monitors` while a moderator agent evaluates the content. CrewAI keeps these agents focused on their specific roles. They share context through the memory layer. One agent finds the post, the other performs the analysis, and the process completes without your input.

Sentiment-based response teams in CrewAI

Use `analyze_text_sentiment` to categorize incoming feedback for your response agents. Your crew can automatically prioritize negative sentiment for immediate follow-up. This builds a scalable operation. You don't have to sort through thousands of posts; the agents do it based on the sentiment score returned by the tool.

CDP-connected agent operations in CrewAI

Empower your agents to look up customer history using `get_customer_profile` during an escalation. Your CrewAI agents get full context before they write a single reply. It makes your agents smarter. They see the user's history and current status, ensuring every interaction is grounded in the actual customer relationship.

Setup guide

Set up Lucidya MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Lucidya tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Lucidya Analyst",
    goal="Access and analyze Lucidya data via MCP.",
    backstory="Expert analyst with direct Lucidya access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Lucidya transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Lucidya Analyst",
        goal="Access and analyze Lucidya data via MCP.",
        backstory="Expert analyst with direct Lucidya access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Lucidya transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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.

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Common questions about Lucidya MCP in CrewAI

You pass the server URL directly into your agent configuration. The framework handles the connection, allowing your agents to call the tools as needed.

CrewAI agents share memory, which lets them pass the results of a tool call between team members. This allows your analyst agent to provide data to your action agent.

It is. You can assign tools to specific agents in your hierarchy, ensuring only the right agents have access to sensitive customer data.

Use the tool_filter option in the MCP client setup. This limits which agents can access specific tools like customer profile lookups.

The connection is restricted to the specific tools you expose to your crew. Only the authorized agent can query the CDP, keeping your customer profiles locked behind your defined permissions.

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