Bring Browser Automation
to CrewAI
Learn how to connect BugBug to CrewAI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the BugBug MCP Server?
Connect your BugBug account to any AI agent and take full control of your automated browser testing and application quality monitoring through natural conversation.
What you can do
- Test Orchestration — List and run high-fidelity automated browser tests in the cloud programmatically, including support for custom environment IDs
- Suite Execution Architecture — Trigger entire test suites to run simultaneously and monitor their aggregate results to oversee platform-wide quality in real-time
- Run Intelligence — Retrieve detailed high-fidelity reports and execution status for every test run to identify regressions and friction points instantly
- History & Performance Monitoring — Access complete historical records of past test and suite runs to coordinate your QA trends programmatically
- Infrastructure Visibility — Access high-fidelity metadata for your projects and retrieve BugBug IP addresses for secure firewall allowlisting directly through your agent
How it works
1. Subscribe to this server
2. Retrieve your API Token from your BugBug dashboard (Integrations tab)
3. Start automating your QA pipeline from Claude, Cursor, or any MCP client
No more manual triggering of cloud tests or digging through complex run logs. Your AI acts as your dedicated QA engineer and quality architect.
Who is this for?
- QA Engineers — instantly trigger regression suites and retrieve results using natural language commands
- Developers — verify application quality after a deployment without leaving your creative workspace
- DevOps Teams — automate the retrieval of testing IPs and monitor suite performance through simple AI queries
Built-in capabilities (12)
Get BugBug IP addresses
Get details for a specific suite
Get status of a suite run
Get details for a specific test
Get status of a test run
List all projects
List recent suite runs
List all test suites
List recent test runs
List all tests
Run a specific test suite
Run a specific test
Why CrewAI?
When paired with CrewAI, BugBug becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call BugBug 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
BugBug in CrewAI
BugBug and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect BugBug 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 BugBug in CrewAI
The BugBug 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 12 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
BugBug for CrewAI
Every tool call from CrewAI to the BugBug 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 BugBug API Token?
Log in to your account, navigate to the Integrations tab in the sidebar, and copy your unique API Token.
Can I run tests in a specific environment?
Yes! Both run_test and run_suite tools accept an optional environmentId parameter to target specific deployment stages.
How do I get the IP addresses for allowlisting?
Use the get_ips tool to retrieve the list of high-fidelity IP addresses used by BugBug's cloud infrastructure programmatically.
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.