"Assistance with Cursor Development" matching MCP servers:

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

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

MCP server for SentientUI that gives AI agents in Claude Code, Cursor, and Copilot direct access to experiment data and management actions.

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.

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.

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

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?”

Provides access to the ABsmartly experimentation platform with 230+ commands across 33 groups for experiment lifecycle, metrics, goals, teams, etc.

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.

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.

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

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.

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 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 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.

An MCP server that provides access to Firebase Remote Config, allowing clients to interact with and manage Firebase remote configuration settings through the Model Context Protocol.