AIBase
EN
Explore
Unleash MCP
U

Unleash MCP

An MCP service implementation that connects LLM applications with the Unleash feature flag system
Developer toolsArtificial intelligence chatbots#Feature flags#LLM integration#MCP service Local.TypeScript
2.5 points
6.6K
Open Site

Overview

Tools List

Content Details

Alternatives

What is the Unleash MCP Server?

The Unleash MCP Server is a bridge that connects LLM (Large Language Model) applications with the Unleash feature flag system. This enables AI applications to easily check the status of feature flags, expose feature flag information to LLMs, and manage feature flags.

How to use the Unleash MCP Server?

To get started, make sure you have Node.js installed and an Unleash API key. Then configure your environment variables and run the server. You can communicate via HTTP or STDIO transport protocols.

Use cases

Suitable for applications that require dynamic control of feature flags, such as adjusting the behavior of functions based on user roles or the environment.

Main features

Check feature flag status
Allows applications to query in real-time whether a specific feature flag is enabled.
Expose feature flag information
Passes the status and metadata of feature flags to LLMs to facilitate their decision-making.
Create feature flags
Supports creating new feature flags via the API.
Update feature flags
Allows dynamic updating of the settings of existing feature flags.
List all projects
Provides an interface to view all defined Unleash projects.
Advantages
Great flexibility to enable or disable functions based on different conditions.
Easy to integrate into an existing Unleash environment.
Supports multiple transport protocols (HTTP/SSE/STDIO).
Open source and free to use.
Limitations
Requires a dependency on an Unleash server instance.
May require additional performance optimization for large-scale deployments.
Some advanced features may require custom development.

How to use

Install dependencies
Run npm install to install the required dependencies.
Configure environment variables
Set necessary environment variables such as UNLEASH_URL and UNLEASH_API_TOKEN.
Start the server
Run npm start to start the Unleash MCP Server.

Usage examples

Check a single feature flag
Verify whether a certain feature flag is enabled.
Batch check feature flags
Check the status of multiple feature flags at once.

Frequently Asked Questions

Which transport protocols does the Unleash MCP Server support?
How to create a new feature flag in the Unleash MCP Server?
Does the Unleash MCP Server support a multi-tenant environment?

Related resources

Unleash official documentation
Understand the core concepts and API of Unleash.
GitHub repository
Access the source code and contribution guidelines.
Video tutorial
Watch the quick-start video.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
7.0K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.4K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.8K
4 points
P
Paperbanana
Python
8.3K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.6K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.1K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.1K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.9K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
76.5K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
22.7K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.8K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
35.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
66.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
23.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
51.9K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase