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Flipt MCP Server

MCP Server

Feature flag control for AI assistants via MCP

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Updated Aug 15, 2025

About

A Model Context Protocol server that connects Flipt’s feature flag system to AI assistants, enabling flag management, evaluation, and rollout control through standard MCP communication.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

mcp

The Flipt MCP Server bridges the gap between AI assistants and feature‑flag infrastructure by exposing Flipt’s powerful flag management API through the Model Context Protocol. Feature flags are a cornerstone of modern software delivery, enabling gradual rollouts, A/B testing, and runtime configuration without code changes. However, accessing these capabilities from an AI assistant requires a dedicated interface that understands both the MCP specification and Flipt’s domain model. This server fulfills that role, turning any MCP‑compatible assistant into a first‑class client for Flipt.

At its core, the server offers CRUD operations on all of Flipt’s primary entities: namespaces, flags, segments, rules, and more. Developers can list existing configurations, create new ones, update properties such as constraints or variants, and delete obsolete items—all through the assistant’s natural language interface. Beyond simple management, the server also evaluates flags for specific entities, returning the resolved value that an application would receive. This evaluation logic is crucial for testing feature toggles or troubleshooting rollout issues directly from the assistant, eliminating the need to spin up a separate client or write custom scripts.

Key capabilities include toggling flags on and off, managing complex rollouts with weighted distributions, and handling segment‑based targeting. The server’s toolset exposes these operations as intuitive prompts that translate user intent into Flipt API calls. Because the communication channel is STDIO, it can run in a lightweight container or be bundled with desktop AI assistants like Claude. The design deliberately keeps configuration simple: environment variables supply the Flipt API endpoint and optional authentication key, allowing seamless deployment in CI/CD pipelines or local development environments.

Real‑world scenarios abound. A product manager can ask the assistant, “Show me all flags in the production namespace,” and receive a concise list. A DevOps engineer might request, “Enable flag X for user group Y,” and the server will apply the change instantly. During a release, QA can evaluate a flag’s value for a specific user ID to confirm that the rollout behaves as expected. In emergency rollback situations, an engineer can toggle a problematic flag off with a single command and observe the effect in real time.

What sets this MCP server apart is its tight integration with Flipt’s feature‑flag semantics and the ease of embedding it into existing AI workflows. By leveraging MCP, developers avoid building custom adapters for each assistant platform; the same server works with Claude Desktop, any future MCP‑compliant tool, or a custom chatbot. The combination of robust flag management, straightforward configuration, and protocol‑agnostic communication makes the Flipt MCP Server a powerful addition to any AI‑augmented development toolkit.