"An incomplete or malformed search query" 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.

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

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.

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.

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.

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

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 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.

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.

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.