Developer Tools & Devops · Statsig + Claude
Statsig MCP with Claude: Safer Feature Rollouts and Faster Experiment Insights
The short answer
Claude works with Statsig through the Model Context Protocol (MCP), a secure standard that lets Claude read and act inside a tool with permissions you control. Once connected with an API key, Claude can evaluate feature gates, review dynamic configurations, run experiments and query event metrics using everyday language, while your team approves any changes.
What is Statsig?
Statsig is a server-side platform for feature gate evaluation, dynamic configuration, experimentation and event measurement. Engineering, product and data teams use it to switch features on for selected users, change settings without a new release, test two versions of an experience and measure what happens. It helps teams roll out changes carefully, see their real impact, and iterate quickly.
How Claude connects to Statsig through MCP
The Model Context Protocol (MCP) is an open standard that acts like a universal adapter between Claude and other software. It lets Claude use a tool securely, reading information and taking actions, with permissions the organisation sets and controls.
Once Claude is connected to Statsig, it can typically look up whether a feature gate is on for a given group of users, review how a dynamic configuration is set, check the status of an experiment and ask natural language questions about event metrics. Your team can then get answers in plain English instead of building every query by hand.
Permissions and approvals keep people in charge. Access is limited to what each workflow needs, and consequential actions, such as changing a live feature gate or a configuration, can require a named person to approve them first. Every action can be logged so your team can see who asked for what and when.
What you can automate
Feature rollout checks for product managers
A product manager asks Claude which feature gates are currently active for a particular user segment and whether the rollout is on schedule. Claude pulls the current gate status and summarises it in plain English, so the manager can confirm a launch without waiting for an engineer to run queries.
Experiment status summaries for growth teams
A growth lead asks Claude for a short update on all running experiments this week. Claude reviews experiment status and key metrics in Statsig and writes a summary of which tests are running, which have reached a clear result and which need more time to collect data.
Configuration review before a change
An engineering lead asks Claude to show the current values of a dynamic configuration before a planned update. Claude reads the configuration and lists the settings in a clear table, reducing the risk of changing the wrong value. Any update waits for approval.
Event metric questions for analysts
A business analyst asks, in everyday words, how many users completed a checkout event after a feature was enabled. Claude queries the event metrics and returns the answer with the time period and segment stated, saving time on routine reporting requests.
Release readiness briefings for leadership
Before a major launch, a director asks Claude to brief them on the state of related feature gates, experiments and key metrics. Claude combines the Statsig information into a one-page briefing that helps leaders decide whether to proceed.
An end-to-end workflow: Weekly release review with Statsig and Microsoft 365
TriggerEvery Monday at 9:00, a scheduled request asks Claude to prepare the weekly release review.
Claude checks the status of active feature gates and recent configuration changes in Statsig.
Claude reviews running experiments and pulls the latest event metrics for each one.
Claude flags any experiment that has reached a clear result or shows an unexpected drop in a key metric.
Claude drafts a summary and places it in a Microsoft 365 document for the product team.
The release manager reviews the draft and approves the decisions to be recorded.
OutcomeThe product and engineering teams start each week with one shared, accurate view of what is live and how it is performing, typically reducing the time spent gathering status updates by hand.
How we set it up
Free automation audit
We review how your teams use Statsig today and identify the workflows, such as rollout checks, experiment summaries and metric questions, that are worth automating first.
Secure connection with an API key
We connect Claude to Statsig using an API key, or through the MCP server where your setup supports it. The key is stored securely and scoped to the least access each workflow needs.
Workflow design across your systems
We design the end-to-end workflow across Statsig and your other systems, such as Microsoft 365, your CRM, ERP or ticketing tool, and agree which actions need human approval.
Testing with real past cases
We test the workflow against real past gates, configurations and experiments to confirm that answers are accurate and that approvals work as intended before anything goes live.
Launch, monitoring and training
We launch with monitoring and audit logs in place, then train your product, engineering and analytics teams so they can use Claude confidently and know when to escalate.
Who benefits
- Product managers
- Get fast, plain-English answers on which features are live for which users, without waiting for engineering support.
- Engineering leads
- Review configurations and gate status quickly, with changes routed through approval before they reach production.
- Growth and analytics teams
- Receive experiment summaries and metric answers in everyday language, reducing routine reporting requests.
- Executives and directors
- Get concise release briefings that support faster, better-informed launch decisions.
Security and control
- Least-privilege access, so Claude can only reach the parts of Statsig each workflow requires.
- Human approval for consequential actions such as changing live feature gates or configurations.
- Audit logs that record requests and actions for review and accountability.
- Secure handling of the API key, with regular rotation and clear ownership.
- Testing against real past cases before launch, with monitoring afterwards.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host the Claude workflow in a region that meets their data requirements. Companies in India must consider the Digital Personal Data Protection Act, 2023, when handling personal data in event metrics. Organisations in the UAE and Saudi Arabia must follow their local data protection laws. We choose the hosting region to suit each client's legal and compliance needs, though no outcome or compliance status can be guaranteed.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the Statsig MCP server do?
The Statsig MCP server lets AI tools such as Claude reach Statsig using natural language. Typically it can help evaluate feature gates, review dynamic configurations, run or check experiments and query event metrics. It acts as a secure bridge, and the permissions it grants are set by your organisation.
Is connecting Claude to Statsig secure?
It can be, when set up properly. We use an API key scoped to the least access each workflow needs, store it securely, and log activity. Consequential actions can require human approval. Security depends on your configuration, so we review your setup during the audit before anything goes live.
What can Claude actually do with Statsig?
Claude can typically check whether a feature gate is on for a group of users, read dynamic configuration values, summarise experiment status and answer questions about event metrics. Changes to live gates or configurations can be routed through an approval step rather than made automatically.
How long does setup take?
It depends on how many workflows you want to automate and how your systems are arranged. Many organisations start with one or two focused workflows. We confirm a realistic timeline after the free automation audit, then test and train before launch.
Which plan or permissions are needed?
Generally, you need an API key from your Statsig account with permissions suited to the workflows you plan. The exact access depends on your account setup and internal policies. We confirm the right level of access during the audit so you grant only what is needed.