#Feature Flags MCP Servers
Discover 14 MCP servers tagged with Feature Flags on the Vinkius App Catalog.
LaunchDarkly MCP
Manage LaunchDarkly feature flags, environments, assignments and deployments smoothly through conversational AI.
PostHog MCP
Manage product analytics and feature flags via PostHog. Query events, inspect cohorts, toggle flags and create annotations from any AI agent.
Harness MCP
Automate CI/CD and DevOps workflows via Harness. Manage pipelines, executions, and secrets directly from any AI agent.
PostHog MCP
Analyze product data via PostHog. List insights, track persons, inspect feature flags, and monitor experiments directly from any AI agent.
ConfigCat MCP
Manage feature flags and remote configurations via ConfigCat. List environments, create settings, and toggle features directly from your AI agent.
Flagsmith MCP
Manage feature flags and remote config via Flagsmith. Toggle features, manage identities, and update environment configurations directly from your AI agent.
Optimizely MCP
Manage A/B tests and feature flags via Optimizely. List projects, track experiments, and toggle features directly from any AI agent.
Flipt MCP
Manage feature flags and rollouts via Flipt. List namespaces, flags, segments, and rules directly from your AI agent.
Statsig MCP
Manage feature flags, dynamic configs, and experiments. Evaluate gates and log events directly from your AI agent.
Unleash (Feature Toggles) MCP
Manage feature flags, strategies, and environments via Unleash. Evaluate toggles, list projects, and monitor metrics directly from your AI agent.
DevCycle MCP
Equip your AI agent to manage feature flags, monitor environments, and track variations via the DevCycle API.
VWO MCP
Manage A/B tests, feature flags, and conversion goals on VWO. The leading experience optimization platform.
GrowthBook MCP
Manage feature flags and experiments via GrowthBook. Control environments, toggle features, and organize projects directly from your AI agent.
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Feature Flag Rollout Calculator MCP
Calculate deterministic user assignment, rollout projections, and statistical sample sizes for feature flags.