"Setting up an MCP server in Kubernetes" matching MCP servers:

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.

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.

An unofficial MCP server that exposes VWO platform operations as tools an AI agent can call, enabling management of campaigns, goals, variations, and more through VWO REST API v2.

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.

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.

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.

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 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.

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.

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

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.