"Creating an MCP Server Using an API" matching MCP servers:

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.

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.

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.

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.

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 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.

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.

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

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.

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 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.

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 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.