Bring Feature Flags
to CrewAI
Learn how to connect GrowthBook to CrewAI and start using 15 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the GrowthBook MCP Server?
Connect your GrowthBook account to any AI agent to streamline your experimentation and feature management workflows through natural language.
What you can do
- Feature Management — List, create, and toggle feature flags across production and staging environments to control rollouts.
- Project Control — Organize your experimentation roadmap by managing projects, their descriptions, and specific settings.
- Environment Visibility — Audit and list all configured environments to ensure flags are deployed correctly across your stack.
- Full Lifecycle — Create, update, or delete projects and environments as your infrastructure and team needs evolve.
- Deep Inspection — Retrieve detailed metadata for specific features and projects to understand their current configuration and state.
How it works
- Subscribe to this server
- Enter your GrowthBook Secret Key
- Start managing flags and experiments from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Product Managers — quickly toggle features for beta testers or check the status of an experiment without opening the dashboard
- Engineering Teams — manage flags and environments directly from the code editor to maintain development flow
- DevOps Engineers — audit environment configurations and project structures via simple natural language queries
Built-in capabilities (15)
Create a new GrowthBook environment
Create a new GrowthBook feature flag (v2)
Create a new GrowthBook project
Delete a GrowthBook environment
Delete a GrowthBook feature flag (v2)
Delete a GrowthBook project
Get a single GrowthBook feature flag (v2)
Get a single GrowthBook project by ID
g., production, staging) used for per-environment feature flag control. List all GrowthBook environments
List all GrowthBook feature flags (v2)
List all GrowthBook projects
Toggle a GrowthBook feature flag on or off
Update an existing GrowthBook environment
Partially update a GrowthBook feature flag (v2)
Edit an existing GrowthBook project
Why CrewAI?
When paired with CrewAI, GrowthBook becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call GrowthBook tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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
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
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
GrowthBook in CrewAI
GrowthBook and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect GrowthBook 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 | 4,000+ 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 GrowthBook in CrewAI
The GrowthBook 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 15 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
GrowthBook for CrewAI
Every tool call from CrewAI to the GrowthBook MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I enable or disable a feature flag using the AI?
Yes! You can use the toggle_feature tool to change the state of any flag. Simply specify the feature ID and the target environment.
How do I see which environments are available for my flags?
You can use the list_environments tool. It will retrieve all configured environments like production, staging, or development used in your GrowthBook account.
Is it possible to create a new project to group my experiments?
Absolutely. Use the create_project tool by providing a name and optional description. This helps keep your feature flags and experiments organized by team or application.
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.
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