"Querying data in MySQL" matching MCP servers:

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

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.

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.

MCP tools for coding agents to create, start, pause and finish A/B tests, push TypeScript experiment config, and read results for React and Next.js apps. SplitHub Cloud returns statistical verdicts; self-hosted projects return raw visitor and conversion counts.

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?”

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

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

Enables inspecting projects, environments, feature rollouts, and experiment-linked flags through LaunchDarkly's REST API.

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.