New: Statsig MCP Now Available in Scout

We're thrilled to announce that Scout now supports Statsig MCP (Model Context Protocol) integration, bringing enterprise-grade feature management, experimentation, and analytics capabilities directly to your Scout agents!

What is the Statsig MCP?

Statsig is the modern feature management and experimentation platform trusted by companies like Notion, OpenAI, and Microsoft to ship features safely and measure their impact. With the new Statsig MCP integration in Scout, you can now create custom Scout agents that have direct access to your Statsig workspace through natural conversation.

Ready to get started? Join Scout today →

Complete Statsig MCP Tool Suite

The Statsig MCP integration provides your Scout agents with access to 40+ powerful tools that cover every aspect of feature management and experimentation:

🚀 Feature Gates & Rollouts

Create Feature Gates: Build new feature flags with targeting rules, rollout percentages, and user segments
Update Gates: Modify existing feature flags, change rollout percentages, and update targeting conditions
Launch/Archive Gates: Safely launch features to production or archive deprecated flags
List Gates: Browse and filter feature gates by status, rollout rate, tags, and creator
Get Gate Details: Access comprehensive information about specific feature gates including rules and metrics

🧪 A/B Testing & Experiments

Create Experiments: Set up sophisticated A/B tests with multiple variants, success metrics, and statistical controls
Manage Experiment Lifecycle: Start, stop, abandon, or make decisions on running experiments
Update Experiments: Modify experiment parameters, add metrics, and adjust allocation percentages
Pulse Results: Retrieve real-time experiment results with statistical significance testing
Experiment Groups: Enable/disable specific experiment groups for granular control

📊 Analytics & Metrics

Create Custom Metrics: Define business metrics for measuring feature and experiment impact
List Metrics: Browse all available metrics with filtering and search capabilities
Metric Analysis: Access detailed metric definitions and historical performance data
Event Tracking: Monitor user events and their relationship to features and experiments

👥 User & Team Management

User Management: List users, invite team members, and manage permissions
Team Operations: Create and manage teams with specific access controls and default settings
Role Management: Define custom roles and permission structures

🏗️ Advanced Configuration

Dynamic Configs: Create and manage dynamic configuration values that can be updated without code deployments
Segments: Build user segments for precise targeting across features and experiments
Layers: Organize experiments into layers for better conflict resolution
Holdouts: Set up holdout groups to measure overall feature impact

Why This Integration Matters

Previously, managing feature flags and experiments required constant context switching between different tools and manual data analysis. Now, you can create specialized Scout agents that can:

Serve as intelligent experimentation assistants that help design, launch, and analyze A/B tests
Automate feature rollout decisions based on real-time performance data
Generate comprehensive reports combining Statsig data with other integrated tools
Act as data-driven product managers with full access to feature performance insights
Provide real-time experiment monitoring and automated alerting

Start building your Statsig-powered agent →

Getting Started: Connect Statsig to Scout in 3 Easy Steps

Setting up Statsig MCP in Scout is incredibly straightforward:

1. Navigate to Integrations

In your Scout dashboard, click on "Integrations" in the main navigation menu.

2. Find Statsig MCP

Browse through the available integrations or use the search bar to find "Statsig MCP".

3. Connect the MCP

Once you've located Statsig MCP, simply click the "Connect MCP" button to begin the connection process.

That's it! Scout will guide you through the authentication process, and within minutes your Scout agents will have full access to your Statsig workspace data.

Create Custom Statsig-Powered Agents

Once connected, you can create specialized Scout agents with Statsig capabilities. Here are some powerful agent examples:

Experimentation Manager Agent

An agent that specializes in A/B testing and can:

Design statistically sound experiments with proper sample sizes
Monitor experiment health and statistical significance
Generate experiment reports with actionable insights
Recommend when to launch, iterate, or kill features

Feature Rollout Agent

An agent focused on safe feature deployment that can:

Gradually increase feature rollout percentages based on metrics
Monitor feature performance and automatically pause problematic rollouts
Create targeted rollouts for specific user segments
Generate rollout status reports for stakeholders

Product Analytics Agent

An agent that helps with data-driven product decisions and can:

Track feature adoption and user engagement metrics
Identify high-performing features and optimization opportunities
Generate executive dashboards combining multiple data sources
Provide recommendations for feature improvements

Join our Slack community for tips and best practices →

Chat Your Way to Better Feature Management

With Statsig MCP-enabled agents, you can have natural conversations about your features and experiments. Here are some examples of what you can ask:

Feature Management:

"Show me all feature gates that are currently rolling out"
"Create a new feature flag for the new checkout flow with 5% rollout"
"What's the current rollout percentage for the mobile redesign feature?"
"Archive all feature flags that haven't been updated in 6 months"

Experimentation:

"Set up an A/B test for the new onboarding flow with conversion rate as the primary metric"
"What are the results of the homepage experiment we launched last week?"
"Create an experiment comparing GPT-4 vs GPT-3.5 for our chatbot"
"Show me all experiments that are ready to make a decision"

Analytics & Insights:

"What's our daily active user count for the past month?"
"Create a custom metric to track feature adoption rate"
"Show me which features are driving the most user engagement"
"Generate a report on experiment velocity for Q4"

Team Coordination:

"List all experiments owned by the growth team"
"Create a new team for the mobile engineering group"
"What features are currently being tested by the product team?"

Real-World Agent Use Cases

Here are some powerful ways teams are creating Statsig-powered Scout agents:

Growth Optimization Agent: Create an agent that continuously monitors conversion funnels, automatically sets up experiments to test improvements, and provides growth recommendations based on statistical analysis.

Product Manager Assistant: Build an agent that tracks feature performance across the entire product lifecycle, from initial rollout through full launch, providing data-driven insights for product decisions.

Engineering Safety Agent: Design an agent that monitors feature rollouts for performance regressions, automatically pauses problematic features, and alerts engineering teams to issues.

Executive Dashboard Agent: Develop an agent that generates executive-level reports combining feature adoption, experiment results, and business metrics for leadership reviews.

Customer Success Agent: Create an agent that tracks how new features impact customer satisfaction and retention, providing insights for customer success teams.

Compliance & Governance Agent: Build an agent that ensures all experiments follow proper statistical practices and company guidelines, maintaining experiment quality standards.

Building Your Statsig Agent

To create a Statsig-powered Scout agent:

Navigate to Agents: Go to the Agents section in your Scout dashboard
Create New Agent: Click "Create Agent" and give it a descriptive name
Configure Capabilities: The Statsig MCP tools will be automatically available to your agent
Customize Behavior: Set up your agent's personality, role, and specific Statsig-focused instructions
Start a Session: You can now start a session with your agent and begin managing features through conversation

Ready to build your first Statsig agent? Get started here →

Advanced Statsig Capabilities

The integration supports Statsig's most advanced features:

Statistical Rigor

Sequential Testing: Reduce experiment duration while maintaining statistical validity
CUPED: Increase experiment sensitivity using pre-experiment data
Multiple Comparison Corrections: Avoid false positives when testing multiple metrics
Bayesian Analysis: Get probabilistic insights about experiment outcomes

Enterprise Features

Warehouse Native: Connect directly to your data warehouse for custom metrics
Team Management: Organize users into teams with specific permissions and defaults
Review Workflows: Require approvals for sensitive feature changes
Audit Logging: Track all changes for compliance and debugging

Advanced Targeting

Custom Segments: Create sophisticated user targeting rules
Holdout Groups: Measure overall feature impact across your product
Layered Experiments: Run multiple experiments simultaneously without conflicts
Dynamic Configs: Update configuration values without code deployments

What's Next?

The Statsig MCP integration is just the beginning. We're continuously expanding Scout's MCP ecosystem to help you build more powerful, specialized agents with access to all your favorite tools.

Ready to supercharge your feature management with Statsig-powered Scout agents? Head over to your Integrations page and connect Statsig MCP today, then create your first custom Statsig agent!

Have questions about the Statsig integration or ideas for other MCPs you'd like to see in Scout? Join our Slack community – we'd love to hear from you!

Get started with Scout + Statsig today →