GrowthBook MCP Server for CrewAIGive CrewAI instant access to 15 tools to Create Environment, Create Feature, Create Project, and more

Name: GrowthBook
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to GrowthBook through Vinkius, pass the Edge URL in the `mcps` parameter and every GrowthBook tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Ask AI about this MCP Server for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The GrowthBook MCP Server for CrewAI is a standout in the Developer Tools category — giving your AI agent 15 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="GrowthBook Specialist",
    goal="Help users interact with GrowthBook effectively",
    backstory=(
        "You are an expert at leveraging GrowthBook 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 GrowthBook "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 15 available tools "
        "and what they can do."
    ),
)

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 GrowthBook MCP Server

Connect your GrowthBook account to any AI agent to streamline your experimentation and feature management workflows through natural language.

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.

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.

The GrowthBook MCP Server exposes 15 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 15 GrowthBook tools available for CrewAI

When CrewAI connects to GrowthBook through Vinkius, your AI agent gets direct access to every tool listed below — spanning feature-flags, a-b-testing, experimentation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create environment on GrowthBook

Create a new GrowthBook environment

create

Create feature on GrowthBook

Create a new GrowthBook feature flag (v2)

create

Create project on GrowthBook

Create a new GrowthBook project

delete

Delete environment on GrowthBook

Delete a GrowthBook environment

delete

Delete feature on GrowthBook

Delete a GrowthBook feature flag (v2)

delete

Delete project on GrowthBook

Delete a GrowthBook project

get

Get feature on GrowthBook

Get a single GrowthBook feature flag (v2)

get

Get project on GrowthBook

Get a single GrowthBook project by ID

list

List environments on GrowthBook

g., production, staging) used for per-environment feature flag control. List all GrowthBook environments

list

List features on GrowthBook

List all GrowthBook feature flags (v2)

list

List projects on GrowthBook

List all GrowthBook projects

toggle

Toggle feature on GrowthBook

Toggle a GrowthBook feature flag on or off

update

Update environment on GrowthBook

Update an existing GrowthBook environment

update

Update feature on GrowthBook

Partially update a GrowthBook feature flag (v2)

update

Update project on GrowthBook

Edit an existing GrowthBook project

Connect GrowthBook to CrewAI via MCP

Follow these steps to wire GrowthBook into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind 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 15 tools from GrowthBook

Why Use CrewAI with the GrowthBook MCP Server

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

GrowthBook + CrewAI Use Cases

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

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

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

Example Prompts for GrowthBook in CrewAI

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

"List all feature flags for the project 'frontend-v2'."

"Enable the 'dark-mode-beta' feature flag in production."

"Get the details and settings for project ID 'proj_123'."

Troubleshooting GrowthBook MCP Server with CrewAI

Common issues when connecting GrowthBook to CrewAI through 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.

GrowthBook + CrewAI FAQ

Common questions about integrating GrowthBook 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.