Compatible with every major AI agent and IDE
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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 12 tools from Statsig through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Statsig, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Statsig in OpenAI Agents SDK
Statsig and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Statsig to OpenAI Agents SDK 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 OpenAI Agents SDK
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 OpenAI Agents SDK 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 OpenAI Agents SDK
Every tool call from OpenAI Agents SDK 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 the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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