Bring Feature Flags
to AutoGen
Learn how to connect GrowthBook to AutoGen 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 AutoGen?
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use GrowthBook tools. Connect 15 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
- —
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use GrowthBook tools to solve complex tasks
- —
Role-based architecture lets you assign GrowthBook tool access to specific agents. a data analyst queries while a reviewer validates
- —
Human-in-the-loop support: agents can pause for human approval before executing sensitive GrowthBook tool calls
- —
Code execution sandbox: AutoGen agents can write and run code that processes GrowthBook tool responses in an isolated environment
GrowthBook in AutoGen
GrowthBook and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect GrowthBook to AutoGen 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 AutoGen
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 AutoGen 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 AutoGen
Every tool call from AutoGen 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 AutoGen connect to MCP servers?
Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call GrowthBook tools during their conversation turns.
Can different agents have different MCP tool access?
Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
Does AutoGen support human approval for tool calls?
Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.
McpWorkbench not found
Install: pip install "autogen-ext[mcp]"
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