How to Use the Lucidya MCP in AutoGen

Q: How do AutoGen agents collaborate on Lucidya sentiment analysis?

You assign tools like analyzetextsentiment and detectarabicdialect to your AutoGen assistant agents. They pass messages back and forth, debating the regional context of the text until they agree on a final sentiment score.

Q: Can AutoGen agents verify Lucidya customer profiles before taking action?

Yes, an agent can call getcustomerprofile to verify a user's standing. It then shares this profile data with other agents in the AutoGen group chat to decide on the next support step.

Q: How do I register Lucidya tools with my AutoGen agent?

You use the mcpservertools helper to fetch the tool definitions from the MCP Server. You then pass this list to your AutoGen AssistantAgent constructor, which automatically maps the schemas.

Q: Is my Lucidya social monitor data safe with this MCP Server?

Yes, all social media monitor details fetched using getmonitordetails are processed in an isolated, secure V8 sandbox. Your API credentials and raw monitor data are never exposed to external servers or stored in any logs.

Let AutoGen agents debate and analyze Lucidya customer profiles and regional social sentiment.

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Create your Vinkius account to connect Lucidya to AutoGen 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 AutoGen

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Let AutoGen agents debate regional brand sentiment.

Configure an AutoGen group chat to pull social data using `list_social_monitors` and analyze regional feedback. A third AutoGen agent can challenge these findings by running `detect_arabic_dialect` to ensure the `analyze_text_sentiment` model didn't misinterpret regional slang. They debate the results until they reach a consensus on the actual customer mood.

Build consensus on customer profile updates.

Your AutoGen agents use `get_customer_profile` to pull existing profiles and compare them with recent social activity. If a user is flagged, a security agent can cross-reference `list_cdp_customers` while a support agent reviews recent interactions. They negotiate the best update path before modifying any profiles in your AutoGen pipeline.

Analyze support performance via this MCP Server.

This MCP Server lets your AutoGen agents query operational metrics using `get_omniserve_analytics` directly from your customer service pipelines. One AutoGen agent calls `get_monitor_details` to fetch specific monitor details, while another pulls general analytics. Together, they analyze bottlenecks and deliver a collaborative report on team performance.

Setup guide

Set up Lucidya MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Lucidya tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Lucidya_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Lucidya data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Lucidya_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Lucidya data")
    print(result.messages[-1].content)

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 AutoGen

You assign tools like `analyze_text_sentiment` and `detect_arabic_dialect` to your AutoGen assistant agents. They pass messages back and forth, debating the regional context of the text until they agree on a final sentiment score.

Yes, an agent can call `get_customer_profile` to verify a user's standing. It then shares this profile data with other agents in the AutoGen group chat to decide on the next support step.

You use the `mcp_server_tools` helper to fetch the tool definitions from the MCP Server. You then pass this list to your AutoGen `AssistantAgent` constructor, which automatically maps the schemas.

Yes, multiple AutoGen agents can invoke different tools from this server simultaneously. One can monitor channels using `list_social_monitors` while another analyzes analytics KPIs.

Yes, all social media monitor details fetched using `get_monitor_details` are processed in an isolated, secure V8 sandbox. Your API credentials and raw monitor data are never exposed to external servers or stored in any logs.

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