Bring Feature Flags
to Google ADK
Learn how to connect Statsig to Google ADK and start using 12 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 Statsig MCP Server?
Connect your Statsig project to any AI agent to manage feature rollouts and product experiments through natural conversation.
What you can do
- Feature Gates — Evaluate if a feature is enabled for a specific user or list all project gates
- Dynamic Configs — Fetch JSON configurations and experiments to control app behavior without code changes
- Event Logging — Log custom events for real-time analytics and metric calculation
- Gate Management — Create, update, or delete feature gates directly via the Console API
- Layer Inspection — Evaluate layers and retrieve parameter values for specific users
How it works
- Subscribe to this server
- Enter your Statsig Server Secret Key (for evaluation) and Console API Key (for management)
- Start managing your product experiments from Claude, Cursor, or any MCP client
Who is this for?
- Product Managers — check gate statuses and create new feature flags without leaving the chat
- Developers — verify evaluation logic and log test events directly from the IDE
- Data Scientists — inspect experiment configurations and verify metric logging
Built-in capabilities (12)
Requires STATSIG_SERVER_SECRET_KEY. Evaluates one or more feature gates for a user
Requires STATSIG_CONSOLE_API_KEY. Create a new dynamic config
Requires STATSIG_CONSOLE_API_KEY. Create a new feature gate
Requires STATSIG_CONSOLE_API_KEY. Delete a feature gate
Requires STATSIG_SERVER_SECRET_KEY. Fetches configuration values for a dynamic config or experiment
Requires STATSIG_CONSOLE_API_KEY. Read a specific dynamic config
Requires STATSIG_CONSOLE_API_KEY. Read a specific feature gate
Requires STATSIG_SERVER_SECRET_KEY. Fetches parameter values from a layer
Requires STATSIG_CONSOLE_API_KEY. List all dynamic configs in the project
Requires STATSIG_CONSOLE_API_KEY. List all feature gates in the project
Requires STATSIG_SERVER_SECRET_KEY. Logs custom events for analytics and metric calculation
Requires STATSIG_CONSOLE_API_KEY. Update an existing feature gate
Why Google ADK?
Google ADK natively supports Statsig as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Statsig
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Statsig tools with BigQuery, Vertex AI, and Cloud Functions
Statsig in Google ADK
Statsig and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Statsig to Google ADK 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 Statsig in Google ADK
The Statsig 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 Google ADK 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
Statsig for Google ADK
Every tool call from Google ADK to the Statsig MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
What is the difference between the Server Secret Key and the Console API Key?
The Server Secret Key is used for evaluation tools like check_gate and get_config. The Console API Key is required for management actions like list_gates or create_gate.
How do I evaluate a gate for a specific user?
Use the check_gate tool. You must provide the gateName and a user JSON object containing at least a userID (e.g., {"userID": "123"}).
Can I log custom events for analytics?
Yes, use the log_event tool to send an array of event objects including name, value, and user metadata to Statsig for real-time metric calculation.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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