
Control feature flags, experiments, and analytics via AI
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Tracked since2026
What is Statsig MCP?
Statsig is a feature flagging, experimentation, and product analytics platform, and its MCP server exposes that control plane to an AI client. Rather than switching to the console to work out which gate governs a code path, a developer or an agent queries the configuration from an editor or chat session and gets back the rule set, the targeting conditions, and which environments a change is live in.
The server covers reads and writes. On the read side it surfaces feature gates, experiments, dynamic configs, segments, and the metrics attached to them, including how an experiment is trending against its primary metric. On the write side it can create gates, adjust rollout percentages, and modify targeting rules. That combination is what makes it useful during an incident: the agent locates the flag behind a failing code path and dials it back without a human hunting through the dashboard first.
The natural users are platform and product engineering teams that already ship behind flags, plus data teams reading experiment results. Because one server can both read results and change rollout state, most teams scope the API key so agents read broadly but write only to the environments they are meant to touch.
Preview
Key Features
Lists feature gates, experiments, dynamic configs, and segments with their targeting rulesReads experiment results and metric movement for a running testCreates gates and updates rollout percentages or targeting conditionsEvaluates a gate or dynamic config against a supplied user contextInspects the event and metric definitions an experiment is measured on
Pricing
Freemium
Statsig MCP offers a generous free tier with optional paid upgrades for advanced features.
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Statsig MCP FAQ
How does Statsig MCP enable AI agents to interact with feature flags?
Statsig MCP is a vendor-hosted remote MCP server that brings a Statsig project into AI tools, allowing AI agents to read and write feature flag data. Those operations are gated on key permissions set within the project.
How does Statsig MCP compare to DevCycle for feature flag management in AI agents?
Unlike DevCycle, which is a feature flag platform, Statsig MCP is specifically a vendor-hosted remote MCP server that enables AI tools to interact with a Statsig project. It focuses on exposing Statsig's read and write operations to AI agents with permission controls.
What trade-off comes with using a vendor-hosted remote MCP server like Statsig MCP?
Because Statsig MCP is vendor-hosted, it requires a constant internet connection to Statsig's servers, and you do not have direct control over the server infrastructure. This can be a consideration for teams with strict data locality or offline requirements.
Which teams benefit most from adopting Statsig MCP?
Teams that already use Statsig for feature flag management and want to enable AI agents to programmatically read and update their feature flags benefit most from Statsig MCP. It is designed for developers working with AI tools and feature flags.
How is Statsig MCP priced?
Statsig MCP is available on a free tier, with paid plans for additional usage and features. This allows teams to start with no upfront cost and scale as needed.
Does Statsig MCP support both read and write operations on feature flags?
Yes, Statsig MCP supports both read and write operations on the Statsig project. However, those operations are gated on key permissions, ensuring that only authorized AI agents can modify feature flags.
Can Statsig MCP be used with any AI tool that supports MCP?
As a vendor-hosted remote MCP server, Statsig MCP is designed to bring a Statsig project into any AI tool that supports the MCP protocol. The specific compatibility depends on the tool's MCP client implementation and the permissions configured in the Statsig project.
Source: statsig.com