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Feature Flags

Integration with feature flag systems that enable controlled feature rollouts and experimentation. Allows querying, toggling, and evaluating feature flags to control application behavior.

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    Enables AI assistants to manage Featureflow feature flags, including creating and updating features, controlling feature states across environments, and managing projects, environments, and targeting rules through natural language.
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    2 npm
    MIT
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    Manage Featureflip feature flags, targeting and rollouts from AI agents and editors. 19 tools over the public Management API let agents read flag state, create and toggle flags, edit targeting rules, manage segments and find stale flags from Claude Code, Cursor, Cline or any MCP-compatible client. Every tool is annotated read-only or destructive. Apache-2.0.
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    561 npm
    Apache 2.0
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    A Model Context Protocol server that enables management of feature flags in Bucketeer through CRUD operations including listing, creating, retrieving, updating, and archiving feature flags.
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    Apache 2.0
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    Enables AI coding assistants to manage Unleash feature flags, including creation, detection, evaluation, and best practices.
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    600 npm
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    Flipt’s MCP server allows AI assistants and LLMs to directly interact with your feature flags, segments, and evaluations through a standardized interface. For example, you could ask your AI assistant: “What’s the current state of the ‘dark-mode’ flag?”
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    24 npm
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    Apache 2.0
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    Provides OpenFeature SDK installation guidance through MCP tool calls. Enables AI clients to fetch installation prompts and setup instructions for various OpenFeature SDKs across different programming languages and frameworks.
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    42 npm
    MIT
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    An MCP server for managing RingCentral's Feature Flag Service (FFS) that enables searching for flags and retrieving user account information. It allows users to check and update feature flag statuses for specific accounts or extensions through natural language interfaces.
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    MIT
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    Provides access to ConfigCat's management API for feature flag and configuration management, enabling CRUD operations on entities like feature flags, configs, environments, and products, as well as SDK documentation.
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    953 npm
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    MIT
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    Connects AI assistants to PostHog to query events, persons, insights, dashboards, feature flags, cohorts, and experiments through the Model Context Protocol.
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    28 npm
    MIT
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    An MCP server that allows AI assistants to programmatically manage Unleash feature flags through natural language, enabling operations like creating, updating, and retrieving feature flags across projects.
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    ISC
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    Enables reading and toggling feature flags, managing environments, segments, and change requests for Harness FME (Split.io).
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    Enables interaction with LaunchDarkly's feature flag platform through AI clients. Supports managing feature flags, AI configs, and their variations with operations like create, update, delete, and targeting configuration.
    49,401 npm
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    MIT
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    Enables AI coding assistants like Cursor and Claude to manage DevCycle feature flags directly from the development environment.
    6,446 npm
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    MIT
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    MCP server for Flagsmith's Core and SDK APIs, enabling management of feature flags and configurations.
    104,531 npm
    BSD 3-Clause
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    A unified MCP server for experimentation and i18n, enabling AI assistants to manage feature flags, experiments, metrics, events, and string translations via natural language.
    677 npm
    MIT
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    Enables AI assistants to manage billing, plans, features, and entitlements via Schematic. Supports company lookup, plan management, feature creation, and override configuration through natural language.
    265 npm
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    MIT
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    MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.
    MIT
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    Provides OpenFeature SDK installation guidance for various programming languages and enables feature flag evaluation through the OpenFeature Remote Evaluation Protocol (OFREP). Supports multiple AI clients and can connect to any OFREP-compatible feature flag service.
    42 npm
    3
    Apache 2.0
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    Provides access to the ABsmartly experimentation platform with 230+ commands across 33 groups for experiment lifecycle, metrics, goals, teams, etc.
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    An A/B experiment runner for the A2A network that provides deterministic sticky bucket assignment, conversion recording, and two-proportion Z-test statistical significance calculation, with pay-per-call pricing via x402 on Base USDC.
    MIT

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