Reflag▌
by docs
Easily create and manage feature flags with Reflag. Streamline deployments and control feature rollout using powerful fe
Create and manage feature flags with Reflag
github stars
★ —
best for
- / Software teams doing gradual feature rollouts
- / A/B testing different application behaviors
- / Emergency feature shutoffs in production
- / Environment-specific feature control
capabilities
- / Create new feature flags
- / Toggle feature flags on/off
- / Query flag status and configuration
- / Update flag settings and rules
- / Delete existing flags
- / List all available flags
what it does
Manages feature flags through Reflag, allowing you to toggle features on/off in your applications without code deployments.
about
Reflag is an official MCP server published by docs that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily create and manage feature flags with Reflag. Streamline deployments and control feature rollout using powerful fe
how to install
You can install Reflag in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Reflag is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the Reflag MCP server?
- Reflag is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Reflag?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Reflag is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Reflag against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Reflag is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Reflag reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Reflag for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Reflag surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Reflag has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Reflag benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Reflag into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Reflag is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.