"Assistance with macOS Spaces feature" matching MCP servers:

A Model Context Protocol (MCP) server implementation that integrates with Unleash Feature Toggle system.

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.

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

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.

Enables AI coding assistants to manage Unleash feature flags, including creation, detection, evaluation, and best practices.

Connects AI assistants to PostHog to query events, persons, insights, dashboards, feature flags, cohorts, and experiments through the Model Context Protocol.

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.

Enables reading and toggling feature flags, managing environments, segments, and change requests for Harness FME (Split.io).

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.

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.

Enables interaction with Featurebase API to manage feature requests, feedback posts, comments, and upvotes. Supports creating, updating, and organizing customer feedback through natural language commands.

MCP server for Loggy that enables AI coding assistants to manage heartbeats, status pages, uptime monitors, feature flags, and logs via natural language.

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.

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?”

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.

Enables AI coding assistants like Cursor and Claude to manage DevCycle feature flags directly from the development environment.

MCP server for Flagsmith's Core and SDK APIs, enabling management of feature flags and configurations.

Enables AI assistants to search and retrieve content from Bucketeer's feature flag and experimentation documentation for accurate information.

A unified MCP server for experimentation and i18n, enabling AI assistants to manage feature flags, experiments, metrics, events, and string translations via natural language.

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.

Enables querying and managing PostHog projects, insights, feature flags, and experiments through MCP tools backed by the PostHog REST API.

Enables AI agents to run a SaaS app's admin through a scoped, audited API — looking up users, applying support actions, reading growth and retention, building segments, toggling feature flags and drafting emails in plain language. Access is limited by key scopes, so tools outside a key's permissions never appear.

Feature flag service for A2A networks with DID-keyed targeting, percentage rollouts, and USDC settlement on Base L2.

Enables inspecting projects, environments, feature rollouts, and experiment-linked flags through LaunchDarkly's REST API.

It enables AI assistants to inspect, query, and diagnose an Octopus instance, and optionally create releases, deploy them, run runbooks, and adjust feature toggles through MCP tools with read-only and write safeguards.

Enables AI assistants to connect to an Octopus instance to inspect, query, and diagnose deployments, and optionally create releases, deploy releases, run runbooks, and adjust feature toggles.

Enables interaction with PostHog's product analytics platform through natural language, allowing users to manage feature flags, view errors, and access other platform features.

Exposes a live application's runtime state to coding agents, including logs, DB schema, config, and feature flags, with read-only SQL and secret redaction.

Enables AI assistants to inspect, query, and diagnose an Octopus instance and perform release, deployment, runbook, and feature-toggle operations via curated tools and a REST backstop.

Enables AI assistants to interact with Statsig's feature management and experimentation platform, allowing them to check feature flags, retrieve configurations, get experiment assignments, and log events.

Enables AI assistants to inspect, query, and diagnose issues in an Octopus Deploy instance and perform release, deployment, runbook, and feature-toggle operations through MCP tools, with read-only and write-confirmation controls.

Enables AI assistants to connect to Octopus instances to inspect, query, and diagnose deployment and operational data, and to perform release, deployment, runbook, and feature-toggle actions with configurable read-only safeguards.

Enables interaction with PostHog product analytics API, supporting project listing, event queries, insight analysis, feature flag management, and annotation creation.

MCP server that provides product and web analytics capabilities, allowing AI coding assistants to query funnels, retention, trends, feature flags, A/B tests, and more in natural language.

Enables planning a safe, ordered release rollback from supplied feature-flag, environment-variable, and migration changes, returning ordered steps, risk annotations, counts, and a safety gate.

Enables users to list and toggle feature flags, retrieve rollout status, and generate project-level feature-flag strategy reports through MCP tools.

Enables MCP-compatible clients to query and act on a self-hosted product analytics platform, including analytics data, session replays, errors, feature flags, surveys, and SQL-based insights through natural-language tools.

A read-only MCP server that lets Claude read PostHog feature-flag state and metadata, enabling listing flags, checking staleness, and evaluating flags for a person.

Provides AI agents full access to the Harness.io platform through 10 consolidated tools and 137 resource types, enabling management of CI/CD, GitOps, Feature Flags, cost data, and more.

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.