"The official Python standard library documentation" matching MCP servers:

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 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 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.

Connects AI assistants to a user's instance so they can inspect, query, and diagnose projects, deployments, releases, runbooks, tasks, tenants, Kubernetes resources, and other operational data. Optionally enables gated write actions such as creating releases, deploying them, running runbooks, and adjusting feature toggles.

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

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.

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

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.

Official GrowthBook MCP server for creating flags, getting experiments, and more.

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?”

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

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

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.

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.

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.