Statsig MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Gate, Create Dynamic Config, Create Gate, and more

Name: Statsig
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Statsig through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Statsig MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 12 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

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+ other MCP clients

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Statsig Assistant",
            instructions=(
                "You help users interact with Statsig. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Statsig"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 Statsig MCP Server

Connect your Statsig project to any AI agent to manage feature rollouts and product experiments through natural conversation.

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.

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

The Statsig MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Statsig tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Statsig through Vinkius, your AI agent gets direct access to every tool listed below — spanning feature-flags, ab-testing, product-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.

check

Check gate on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Evaluates one or more feature gates for a user

create

Create dynamic config on Statsig

Requires STATSIG_CONSOLE_API_KEY. Create a new dynamic config

create

Create gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Create a new feature gate

delete

Delete gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Delete a feature gate

get

Get config on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Fetches configuration values for a dynamic config or experiment

get

Get dynamic config on Statsig

Requires STATSIG_CONSOLE_API_KEY. Read a specific dynamic config

get

Get gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Read a specific feature gate

get

Get layer on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Fetches parameter values from a layer

list

List dynamic configs on Statsig

Requires STATSIG_CONSOLE_API_KEY. List all dynamic configs in the project

list

List gates on Statsig

Requires STATSIG_CONSOLE_API_KEY. List all feature gates in the project

log

Log event on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Logs custom events for analytics and metric calculation

update

Update gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Update an existing feature gate

Connect Statsig to OpenAI Agents SDK via MCP

Follow these steps to wire Statsig into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from Statsig

Why Use OpenAI Agents SDK with the Statsig MCP Server

OpenAI Agents SDK provides unique advantages when paired with Statsig through the Model Context Protocol.

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 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Statsig MCP Server delivers measurable value.

Automated workflows: build agents that query Statsig, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Statsig, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Statsig tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Statsig to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Statsig in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Statsig immediately.

"Check if the gate 'new_checkout_flow' is enabled for user 'user_99'."

"List all feature gates in my Statsig project."

"Create a new feature gate named 'mobile_redesign' with description 'Testing new UI'."

Troubleshooting Statsig MCP Server with OpenAI Agents SDK

Common issues when connecting Statsig to OpenAI Agents SDK through Vinkius, and how to resolve them.

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.

Statsig + OpenAI Agents SDK FAQ

Common questions about integrating Statsig MCP Server with OpenAI Agents SDK.

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.

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