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Statsig MCP Server
Ship code safely at AI speed
Statsig's MCP Server lets AI coding tools work directly with Statsig, integrating rollouts, experiments, and analysis into your development workflow
Why use Statsig's
MCP Server?
Statsig's MCP Server lets AI coding tools work directly with Statsig, integrating gated rollouts, experiments, and analysis into your AI development workflow
Control and visibility over your code
Enable AI coding agents to ship changes behind feature gates and add logging by default, with fast rollback and visibility if issues arise
Seamless AI coding workflow
Bring Statsig directly into your AI coding tools so you can create feature gates, experiments, and analysis without switching contexts
Faster experiment-to-decision loops
AI coding tools accelerate development. Statsig accelerates learning by making experiments and measurement part of the same workflow
Check feature gate and experiment status
Ask questions like “Is this gate enabled?” or “What's the status of this experiment?” without leaving your coding workflow
Clean up stale gates
Prompt your AI coding tool to identify and remove stale or unused gates, keeping your configuration clean as you move faster with AI
Brainstorm experiment ideas
Ask your AI coding tool to suggest experiment ideas based on existing Statsig experiments, metrics, and learnings
Create experiments the right way
Spin up experiments with consistent structure, including variants, metrics, and randomization, so they are set up correctly from the start
Analyze experiment results
Pull experiment results, ask targeted questions, and generate a clear rollout recommendation, such as ship, ramp, iterate, or roll back
Auto-add feature gates
As new code is written, feature gates can automatically be added to ensure safe rollout by default
There was a pivotal moment when engineers started to realize:
I can measure the magnitude of change in user behavior that happened
because of something I did!
Todd Rudak
Director, Data Science & Product Analytics
We've successfully launched over 600 features by deploying
them behind Statsig feature flags, enabling us to ship at an
impressive pace with confidence
Wendy Jiao
Staff Software Engineer
All testing and iterations for our flagship news feed release
were carried out using Statsig. It played a crucial role in helping
us make key decisions about how the feed should look
Don Browning
SVP, Data & Platform Engineering
Included with the Statsig platform
Warehouse Native
Run Statsig in your data warehouse for improved security, reliability, and data governance
30+ SDKs
Build with high-performance, open-source SDKs in (almost) every language
Enterprise-grade infra
Ship with infrastructure that is built to handle trillions of events and billions of users
Native integrations
Access a variety of integrations with CDPs, observability tools, and other providers
Loved by customers at every stage of growth
See what our users have to say about building with Statsig