Bring Chatbot Builder
to CrewAI
Learn how to connect BotGenuity to CrewAI and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the BotGenuity MCP Server?
Connect your BotGenuity account to any AI agent and take full control of your automated customer engagement and chatbot operations through natural conversation.
What you can do
- Bot Orchestration — List and manage all your AI chatbot instances programmatically, retrieving detailed configuration and high-fidelity operational status in real-time
- Lead Capture Intelligence — Access complete directories of leads captured during bot interactions, including high-fidelity contact metadata and conversation context
- Conversation Discovery — Retrieve detailed chat histories and individual message threads to maintain a perfectly coordinated overview of customer needs
- Real-Time Interaction — Programmatically send messages to your chatbots to test performance or integrate bot responses into custom business workflows
- Platform Monitoring — Access chatbot configuration details and monitor account-level connectivity directly through your agent for instant reporting
How it works
1. Subscribe to this server
2. Retrieve your API Key (Bearer Token) from your BotGenuity dashboard (Settings > Security)
3. Start managing your conversational AI pipeline from Claude, Cursor, or any MCP client
No more manual toggling between chatbot portals or digging through individual lead tables. Your AI acts as your dedicated bot engineer and lead coordinator.
Who is this for?
- Customer Support Teams — instantly retrieve chat histories and monitor bot performance using natural language commands
- Marketing Managers — track lead generation trends and verify bot engagement without leaving your workspace
- Product Teams — integrate custom-trained chatbot responses into internal tools through simple AI queries
Built-in capabilities (6)
Send a message to a chatbot and get a response
Get details of a specific chatbot
Get full history for a conversation
List leads captured by a chatbot
List conversations for a chatbot
List all chatbots in your BotGenuity account
Why CrewAI?
When paired with CrewAI, BotGenuity becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call BotGenuity tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
BotGenuity in CrewAI
BotGenuity and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect BotGenuity to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for BotGenuity in CrewAI
The BotGenuity 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
BotGenuity for CrewAI
Every tool call from CrewAI to the BotGenuity MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my BotGenuity API Key?
Log in to your account, select a chatbot, navigate to Settings > Security, and generate your API Bearer Token.
Can I test bot responses via AI?
Yes! The chat_with_bot tool allows you to interact with your chatbots and retrieve high-fidelity AI responses programmatically.
How do I retrieve captured leads?
Use the list_captured_leads tool with a specific chatbot ID to retrieve all contact information collected during user sessions.
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.
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.