Can I search for a specific lead or contact by name?

Yes! Use the `list_contacts` tool and provide the `search_text` parameter with the name, email, or details you are looking for. The agent will return the matching profiles.

How do I review the chat history of a conversation?

First, use `list_chats` to find the active or historical session. Then, use `get_chat_history` with the Chat ID to retrieve the full log of messages.

Can I send an OTP SMS to a user?

Yes. Use the `send_otp` action and provide the user's phone number (with the country code). BotPenguin will handle the integration to send the verification code.

BotPenguin MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: BotPenguin
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to BotPenguin through Vinkius, pass the Edge URL in the `mcps` parameter and every BotPenguin 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="BotPenguin Specialist",
    goal="Help users interact with BotPenguin effectively",
    backstory=(
        "You are an expert at leveraging BotPenguin 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 BotPenguin "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

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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 BotPenguin MCP Server

Connect your BotPenguin account to any AI agent and orchestrate your customer conversations, lead generation, and support workflows through natural language.

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

Contact Management — List and search for contacts or leads collected by your chatbots across multiple channels.
Chat Oversight — Retrieve active and historical chat sessions to monitor agent and bot performance.
Conversation Logging — Access the full message history for specific chat sessions.
Message Automation — Send messages directly into active chats to assist users programmatically.
Authentication Support — Trigger OTP SMS messages to verify user phone numbers.
Team Coordination — List all configured tags and human agents to ensure proper lead routing.

The BotPenguin MCP Server exposes 8 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 BotPenguin to CrewAI via MCP

Follow these steps to integrate the BotPenguin 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 8 tools from BotPenguin

Why Use CrewAI with the BotPenguin MCP Server

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

BotPenguin + CrewAI Use Cases

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

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

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

BotPenguin MCP Tools for CrewAI (8)

These 8 tools become available when you connect BotPenguin to CrewAI via MCP:

get_chat_history

Retrieve message history of a chat

get_contact

Get details of a specific contact

list_agents

List all human agents/operators

list_chats

List active chat sessions

list_contacts

Optional search text. List all BotPenguin contacts/leads

list_tags

List all contact tags

send_message

Send a message in a specific chat

send_otp

Send an OTP SMS to verify a phone number

Example Prompts for BotPenguin in CrewAI

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

"List the most recent contacts in BotPenguin."

"Show the chat history for chat session chat_123."

"Send an OTP SMS to +1555998877."

Troubleshooting BotPenguin MCP Server with CrewAI

Common issues when connecting BotPenguin 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.

BotPenguin + CrewAI FAQ

Common questions about integrating BotPenguin 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.