Can I train a bot by adding web pages to its knowledge base?

Yes! The `add_knowledge_url` action accepts a Bot ID and a URL. Botsonic will crawl the page and add its content to the bot's training data. Use `list_knowledge_base` to review all sources (URLs, documents, files) currently training a specific bot.

Can I retrieve leads captured by my chatbot during customer interactions?

Yes. The `list_leads` tool retrieves all leads collected by a specific bot during conversations, including contact details, conversation context, and capture timestamp. This is ideal for syncing chatbot-qualified leads into your CRM.

How can I measure the performance of my chatbots?

Use `get_bot_analytics` with the Bot ID. It returns conversation count, total messages, resolution rate (percentage of conversations resolved without human handoff), and customer satisfaction scores. Compare across bots to identify which ones need KB improvements.

INSTANT PLUG AND PLAY

Botsonic MCP Server for CrewAIGive CrewAI instant access to 12 tools to Add Knowledge Url, Check Botsonic Status, Create Bot, and more

Name: Botsonic
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Botsonic through Vinkius, pass the Edge URL in the `mcps` parameter and every Botsonic 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

Open in ChatGPT Open in Claude Open in Perplexity

The Botsonic app connector for CrewAI is a standout in the Customer Support category — giving your AI agent 12 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="Botsonic Specialist",
    goal="Help users interact with Botsonic effectively",
    backstory=(
        "You are an expert at leveraging Botsonic 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 Botsonic "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 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 Botsonic MCP Server

Connect your Botsonic (by Writesonic) account to any AI agent and manage your AI chatbot fleet through natural conversation.

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

Bot Management — Create, update, list, and inspect AI chatbots with personality, instructions, and knowledge base configuration
Knowledge Base Training — Add web page URLs to a bot's knowledge base and review all training sources (URLs, documents, files)
Conversation History — Browse all chat sessions per bot and inspect the full message history of any conversation
Live Querying — Send messages to a bot and receive AI-generated responses in real time
Lead Capture — Retrieve all leads collected by the chatbot during customer conversations
Performance Analytics — Track usage metrics including conversation volume, message count, resolution rate, and customer satisfaction

The Botsonic MCP Server exposes 12 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 12 Botsonic tools available for CrewAI

When CrewAI connects to Botsonic through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-training, rag, 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.

add_knowledge_url

Add knowledge URL

check_botsonic_status

Verify connectivity

create_bot

Create a bot

get_bot

Get bot details

get_bot_analytics

Get bot analytics

get_conversation

Get conversation

list_bots

List all bots

list_conversations

List conversations

list_knowledge_base

List knowledge base

list_leads

List captured leads

send_message

Send message to bot

update_bot

Update a bot

Connect Botsonic to CrewAI via MCP

Follow these steps to wire Botsonic 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 12 tools from Botsonic

Why Use CrewAI with the Botsonic MCP Server

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

Botsonic + CrewAI Use Cases

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

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

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

Example Prompts for Botsonic in CrewAI

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

"List all my bots and show the analytics for the one with the most conversations."

"Add our pricing page and help center to the 'Sales Assistant' bot's knowledge base."

"Show me all leads captured by the 'Customer Support Bot' this week."

Troubleshooting Botsonic MCP Server with CrewAI

Common issues when connecting Botsonic 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.

Botsonic + CrewAI FAQ

Common questions about integrating Botsonic 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.