27 published MCP servers in this category · all categories
Feature flag MCP servers connect assistants to release controls, targeting rules and supported experimentation services. They can help find a flag, inspect a rollout or retrieve experiment results. An unrelated server with an experimental configuration switch does not necessarily offer tools for managing application feature flags.
Compare project selection, environments, variations and audience targeting. Check which tools read configuration and which can change traffic exposure. For experiments, retain the metric definition and evaluation period with results. A flag’s current value and a completed experiment answer different questions about application behaviour.
For adjacent workflows, explore CI/CD and Monitoring & Observability.
Browse the servers below for available tools, connection options and links to the maintainer’s documentation. A server can belong to several categories when it supports several kinds of work.
Feature flags, A/B experiments, kill switches, dynamic config & i18n — Shipeasy MCP server.
Connect AI agents to CloudBees Unify: feature flags, CI/CD, release orchestration, and security
interacts with ConfigCat feature flag platform. Supports managing feature flags, configs, environments, products and organizations. Helps to
Manage ConfigDirector feature flags, remote configs, and targeting rules from AI assistants.
Manage DevCycle feature flags, inspect project settings and review flag evaluation counts through a hosted OAuth MCP connection.
MCP (Model Context Protocol) server for Featureflip — manage feature flags from AI coding assistants (Claude Code, Cursor, Copilot, Cline) and autonomous agents.
Feature flags for Next.js. One file, full control with A/B testing.
Create and read feature flags, review experiments, generate flag types, search docs, and interact with GrowthBook's feature flagging and
Feature flag service for safe rollouts across the Hive agent fleet
Evaluate and inspect your Hypertune feature flags from your AI assistant.
Users, organizations, roles, permissions, applications and feature flags.
Manage feature flags, segments, projects, environments, and team members
LaunchDarkly MCP Pack — wraps the LaunchDarkly REST API v2
Connect to LaunchDarkly’s hosted MCP service for supported feature flag, AgentControl and observability workflows through its OAuth connection.
Use LaunchDarkly’s self-managed MCP server for documented EU and federal environments, with feature flag, environment and AI configuration tools.
Feature flags and kill switches. Turn a shipped feature off in production without a deploy.
Reproduce, inspect, diff and bisect feature-flag rulesets; author and publish flag changes.
Create and run A/B tests, patches, split tests and feature flags on your website
Capture analytics events, evaluate feature flags, and manage projects
Query product analytics and inspect PostHog workflows from a supported assistant.
Product analytics, feature flags, experiments, session replay and messaging for your products.
An MCP (Model Context Protocol) server that provides access to Rust documentation from docs.rs. This server allows AI tools to search for documentation, type information, feature flags, version…
Operate smplkit from your agent: feature flags, config, logging, audit, and scheduled jobs.
MCP server for Statsig API - interact with Statsig's feature flags, experiments, and analytics
Complete, hosted login, teams, billing and feature flags for your SaaS app. Your AI assistant sets it all up for you.
Unleash MCP Server
MCP server for managing Unleash feature flags