How do I obtain my Sobot App ID and Key?

You need to contact your Sobot business manager or support personnel to apply for your unique `appid` and `app_key`.

Can I check if an agent is currently online?

Yes. Use the `get_agent_status` tool with the specific agent ID to retrieve their real-time status, including whether they are online, busy, or offline.

Is it possible to retrieve knowledge base articles through the agent?

Yes! You can list available articles using `list_knowledge` and retrieve the full content of a specific document using the `get_knowledge_detail` tool.

Sobot MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Sobot
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Sobot through the Vinkius — pass the Edge URL in the `mcps` parameter and every Sobot 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="Sobot Specialist",
    goal="Help users interact with Sobot effectively",
    backstory=(
        "You are an expert at leveraging Sobot 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 Sobot "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Sobot MCP Server

Empower your AI agent to orchestrate your customer service with Sobot (智齿科技), the premier AI-driven customer support platform in China. By connecting Sobot to your agent, you transform complex ticketing management and agent coordination into a natural conversation. Your agent can instantly list your work orders, retrieve agent statuses, browse knowledge base articles, and even audit chat histories without you ever needing to navigate the comprehensive web interface. Whether you are managing a high-volume support team or a specific high-priority ticket, your agent acts as a real-time support operations assistant, keeping your data accurate and your customers satisfied.

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

What you can do

Ticket Management — List all active work orders, get detailed information, and create new tickets instantly.
Agent Coordination — Browse support agents and monitor their real-time online/busy status.
Knowledge Retrieval — List and retrieve content from your Sobot knowledge base to assist with customer queries.
Chat Audit — Browse historical chat records and transcripts to track customer engagement.
Service Insights — Retrieve high-level summaries of organization-wide support activity and performance.

The Sobot MCP Server exposes 10 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 Sobot to CrewAI via MCP

Follow these steps to integrate the Sobot 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 10 tools from Sobot

Why Use CrewAI with the Sobot MCP Server

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

Sobot + CrewAI Use Cases

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

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

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

Sobot MCP Tools for CrewAI (10)

These 10 tools become available when you connect Sobot to CrewAI via MCP:

create_ticket

Create a new ticket

get_agent_status

Get agent online status

get_knowledge_detail

Get knowledge article details

get_org_summary

Get organization activity summary

get_ticket_details

Get ticket details

list_agents

List support agents

list_chat_history

List chat history

list_knowledge

List knowledge base articles

list_tickets

List customer support tickets

list_users

List customers/users

Example Prompts for Sobot in CrewAI

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

"List all active support tickets from Sobot."

"Check if agent 'Mario' is currently online."

"Search the knowledge base for 'refund policy'."

Troubleshooting Sobot MCP Server with CrewAI

Common issues when connecting Sobot 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

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

Sobot + CrewAI FAQ

Common questions about integrating Sobot 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.