How to Use the UserEcho MCP in CrewAI

Q: How do I get specific ticket details using UserEcho and CrewAI?

You assign an agent to use getticketdetails with the necessary ID. The shared memory ensures that other agents are aware of this critical piece of data once retrieved.

Q: Can I list all available helpdesk tickets using UserEcho and CrewAI?

Yes, an agent can execute listtickets. This action provides the raw input for subsequent tasks, like deciding which ticket needs a new record via createsupportticket.

Q: If I need to create a support ticket using UserEcho and CrewAI, how does it work?

You define an action requiring the createsupportticket tool. The process is autonomous: once all required inputs are gathered by specialized agents, the final agent executes the creation.

Q: What data types can I list using this MCP Server with CrewAI?

You can list account users (listaccountusers), available forums (listforums), knowledge base articles (listkbarticles), and existing ticket records via listtickets.

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Setup UserEcho with CrewAI

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Orchestrate Ticket Management Across Teams

You can set up a dedicated Agent to handle ticketing. One agent uses `list_tickets` to monitor status, while another specialized agent runs `get_ticket_details` when an escalation is required. The collaborative nature of CrewAI means the Monitor Agent watches both tools and decides if a new ticket needs opening via `create_support_ticket`.

Map Community Knowledge Bases

Need to gather all available resources? A research agent can use `list_kb_articles` while another lists community forums using `list_forums`. The specialized agents share this memory. The system runs sequentially, ensuring the user gets a full view of both structured knowledge and general discussion areas.

Identify Platform Users and Resources

A dedicated agent can run `list_account_users` to verify identities. Another agent can compile all available support options by running `list_forums` alongside `list_kb_articles`. This lets you build a comprehensive view of the entire customer feedback ecosystem using specialized, collaborating roles.

Setup guide

Set up UserEcho 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 UserEcho tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent UserEcho 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="UserEcho Analyst",
        goal="Access and analyze UserEcho data via MCP.",
        backstory="Expert analyst with direct UserEcho access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent UserEcho 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 UserEcho. 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 UserEcho MCP in CrewAI

You assign an agent to use `get_ticket_details` with the necessary ID. The shared memory ensures that other agents are aware of this critical piece of data once retrieved.

Yes, an agent can execute `list_tickets`. This action provides the raw input for subsequent tasks, like deciding which ticket needs a new record via `create_support_ticket`.

You define an action requiring the `create_support_ticket` tool. The process is autonomous: once all required inputs are gathered by specialized agents, the final agent executes the creation.

You can list account users (`list_account_users`), available forums (`list_forums`), knowledge base articles (`list_kb_articles`), and existing ticket records via `list_tickets`.

It manages ticket records, providing a list of ticket IDs and their associated status information through the `list_tickets` tool.

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