Data & Analytics · Statsig MCP + 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), an open standard that acts as a secure adapter. Once connected, Claude can read experiments, feature gates, dynamic configs and metrics, and carry out approved changes such as creating a gate or updating a config. Your team controls which actions are allowed and approves consequential changes.
What is Statsig MCP?
Statsig is a feature experimentation platform. Product, engineering and data teams use it to run experiments, switch features on or off for selected users, adjust settings without redeploying code, and measure the effect of changes. It also offers segments, layers and observability workflows, so teams can see how a release affects real customers. It suits product managers, growth teams and engineers who want to release features carefully and learn quickly.
How Claude connects to Statsig MCP through MCP
The Model Context Protocol (MCP) is an open standard that lets Claude use other software securely. Think of it as a universal adapter between Claude and a tool like Statsig. Your organisation decides exactly what Claude can see and do, and access is granted through Statsig's supported sign-in method, dynamic client registration with OAuth, so no shared passwords are needed.
Once connected, Claude can answer questions such as which experiments are running, what the latest results show for a metric, or which feature gates are active for a segment. It can also help draft a new feature gate or update a dynamic config when a team member asks for it. Reading data is typically the first step, and write access is added only where the business needs it.
Permissions and approvals keep people in charge. Access is limited to the least privilege needed for each role, so a marketing analyst might only read metrics while an engineering lead can change configs. Consequential actions, such as launching an experiment to all users, can require a named person to approve before Claude proceeds, and every action is recorded in an audit log.
What you can automate
Experiment status summaries
Product managers ask Claude which experiments are running this week, which have reached sample size, and what the headline results are. Claude pulls the current data from Statsig and writes a short summary for the weekly product review, saving the time spent clicking through dashboards.
Safer feature rollouts
Engineering leads can ask Claude to create a feature gate that opens to five percent of users first. Claude prepares the gate for review, and a named approver confirms before the rollout expands. This keeps releases small and reversible while the team watches for problems.
Dynamic config updates
Operations teams often need to change a pricing message, a timeout or a banner without a full code release. Claude can draft the config change from a plain-English request, show the before and after values, and apply it only once the owner approves it.
Metric monitoring for launches
After a release, a growth lead can ask Claude to track conversion and error metrics by segment every morning. Claude reports any movement that crosses thresholds the team has agreed, so problems are spotted early without anyone building a manual report.
Segment and audience checks
Analysts can ask Claude how many users sit in a segment, or whether a feature is reaching the intended audience. Claude answers from live Statsig data, helping teams confirm targeting before they spend time on analysis.
An end-to-end workflow: Checkout redesign rollout with CRM follow-up
TriggerA product manager asks Claude in Microsoft Teams to prepare a staged rollout of the new checkout design.
Claude reads the existing feature gate and the related experiment in Statsig to confirm the current state.
Claude drafts a gate that exposes the new checkout to five percent of users and presents it for approval.
Once the product lead approves, Claude applies the change and records it in the audit log.
Claude checks conversion and error metrics every day and posts a short update to the team channel.
If metrics cross agreed thresholds, Claude raises a ticket in the ticketing system and notifies the owner for a decision.
Claude adds notes on customer complaints from the CRM to the weekly report so teams see the full picture.
OutcomeTeams release the checkout redesign in controlled stages, with approvals on record, faster detection of problems and a single weekly report combining experiment results and customer feedback. Results vary by business and are indicative only.
How we set it up
Free automation audit
We review how your teams currently run experiments, releases and reporting, and identify the workflows where Claude would save the most time. There is no charge for this session.
Secure connection
We connect Claude to Statsig through its MCP server using dynamic client registration with OAuth. Access is set to the least privilege each role needs, and no shared credentials are stored.
Workflow design
We design the end-to-end process across Statsig and your other systems, such as Microsoft 365, CRM or ticketing. We agree which actions Claude can take alone and which need human approval.
Testing with real cases
We test the workflow against past experiments and rollouts from your own history, checking accuracy and approval paths before anything goes live.
Launch, monitoring and training
We launch with monitoring and audit logs in place, then train your product, engineering and operations teams so they can use Claude confidently from day one.
Who benefits
- Product managers
- Get experiment status and results in plain language without waiting for analyst time.
- Engineering leads
- Roll out features in small, reversible steps with clear approvals and audit trails.
- Growth and marketing teams
- Monitor metrics by segment and spot launch problems early.
- Operations and IT heads
- Keep control of access, permissions and records while reducing manual reporting.
Security and control
- Least-privilege access, with read and write rights granted only where a role needs them.
- Named human approval for consequential actions such as full rollouts or production config changes.
- Full audit logs of every action Claude takes in Statsig.
- Sign-in through Statsig's supported OAuth method, so no shared passwords are stored.
- Testing against past cases and monitoring after launch, with clear rollback steps.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host Claude in their chosen region to align with their data protection obligations. In India, the Digital Personal Data Protection Act, 2023 shapes how personal data is handled, and we design the workflow with that in mind. For organisations in the Middle East, including the UAE and Saudi Arabia, we follow the relevant local data protection laws. Hosting region is selected to meet each client's requirements, and we do not guarantee compliance outcomes; your legal team should confirm them.
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 gives AI tools a secure way to work with Statsig. It exposes experiments, feature gates, dynamic configs, layers, metrics and segments, so an assistant like Claude can read this information and, where permitted, make approved changes using plain language requests.
Is connecting Claude to Statsig secure?
Security depends on how the connection is set up. Statsig supports dynamic client registration with OAuth, which avoids shared passwords. We apply least-privilege access, require human approval for important actions and keep audit logs. We cannot guarantee security outcomes, but these controls reduce risk.
What can Claude actually do with Statsig?
Typically, Claude can answer questions about experiments and metrics, summarise results, check which users a gate reaches and draft changes to feature gates or dynamic configs. Write actions happen only within the permissions you grant and after the approvals you define.
How long does setup take?
Timing depends on the number of workflows and systems involved. A focused connection with one or two workflows can often be ready within a few weeks, including testing and training. We confirm the timeline during the free automation audit.
Which plan or permissions do I need?
You need a Statsig account with the access level required for the actions you want Claude to take. Read-only access supports reporting, while write access is needed for changing gates or configs. Your Statsig plan and permission settings should be confirmed with your Statsig administrator during the audit.