Can I see the full conversation history of a support ticket?

Yes! Use the `get_ticket_details` tool and provide the Ticket ID. Your agent will retrieve the complete metadata and all conversation threads for that specific issue.

How do I list all the help center articles in my account?

Run the `list_kb_articles` query. The agent will retrieve a complete list of all articles currently published in your UserEcho knowledge base.

Is it possible to create a new ticket via AI for a customer?

Absolutely. Use the `create_support_ticket` action. Provide a header and the detailed content, and the agent will instantly log the request in your UserEcho helpdesk.

INSTANT PLUG AND PLAY

UserEcho MCP Server for CrewAIGive CrewAI instant access to 6 tools to Create Support Ticket, Get Ticket Details, List Account Users, and more

Name: UserEcho
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 6 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The UserEcho app connector for CrewAI is a standout in the Collaboration category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="UserEcho Specialist",
    goal="Help users interact with UserEcho effectively",
    backstory=(
        "You are an expert at leveraging UserEcho 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 UserEcho "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 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 UserEcho MCP Server

Connect your UserEcho account to any AI agent and simplify how you manage your community feedback, helpdesk tickets, and self-service content through natural conversation.

When paired with CrewAI, UserEcho becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call UserEcho 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

Helpdesk Management — List all support tickets and retrieve detailed conversation history and status for specific issues.
Direct Ticketing — Programmatically create new support tickets directly from your agent to accelerate customer assistance.
Knowledge Base Access — List and query all articles in your help center to verify self-service documentation.
Forum Oversight — List and monitor feedback and support forums to understand community trends and suggestions.
User Directory — List account users and team members to manage your support organization structure.
Issue Tracking — Monitor the progress of client requests and verify resolution times via AI.

The UserEcho MCP Server exposes 6 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.

All 6 UserEcho tools available for CrewAI

When CrewAI connects to UserEcho through Vinkius, your AI agent gets direct access to every tool listed below — spanning community-feedback, idea-voting, knowledge-base, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_support_ticket

Add a new ticket

get_ticket_details

Get details for a specific ticket

list_account_users

List account users

list_forums

List UserEcho forums

list_kb_articles

List knowledge base articles

list_tickets

List helpdesk tickets

Connect UserEcho to CrewAI via MCP

Follow these steps to wire UserEcho into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 6 tools from UserEcho

Why Use CrewAI with the UserEcho MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with UserEcho 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

UserEcho + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries UserEcho 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 UserEcho, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain UserEcho 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 UserEcho against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for UserEcho in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with UserEcho immediately.

"List all active support tickets in my account."

"Show me the details for ticket #88231."

"Create a support ticket: 'API Timeout error' with content 'Receiving 504 errors on the /v1/users endpoint'."

Troubleshooting UserEcho MCP Server with CrewAI

Common issues when connecting UserEcho 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.

UserEcho + CrewAI FAQ

Common questions about integrating UserEcho 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.