MCP server
by ylin6
Unleash offers seamless integration with the Unleash feature flag system for efficient management across development pro
Connects to Unleash feature flag management systems to create, retrieve, and manage feature flags across development projects through an MCP interface.
Unleash is a community-built MCP server published by ylin6 that provides AI assistants with tools and capabilities via the Model Context Protocol. Unleash offers seamless integration with the Unleash feature flag system for efficient management across development pro It is categorized under developer tools.
You can install Unleash 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 runs locally on your machine via the stdio transport.
MIT
Unleash is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Useful MCP listing: Unleash is the kind of server we cite when onboarding engineers to host + tool permissions.
Unleash reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Unleash reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: Unleash surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Unleash for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend Unleash for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Unleash surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Strong directory entry: Unleash surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Unleash for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Unleash surfaces stars and publisher context so we could sanity-check maintenance before adopting.
showing 1-10 of 36
This repository contains a Model Context Protocol (MCP) server for interacting with Unleash feature flag management system. It allows AI agents to manage feature flags through the Unleash API.
The Model Context Protocol (MCP) is a specification for enabling AI models to interact with external tools and data sources. This server implements the MCP protocol for Unleash, allowing AI assistants to manage feature flags programmatically.
You can install the package from npm:
npm install -g @ylin6/unleash-ff-mcp-server
Or run it directly using npx:
npx @ylin6/unleash-ff-mcp-server
The server requires the following environment variables:
UNLEASH_API_URL: The URL of your Unleash API instanceUNLEASH_AUTH_TOKEN: The authentication token for your Unleash instanceThe MCP server provides the following tools for managing feature flags:
Retrieves a list of all projects in the Unleash instance.
Retrieves all feature flags within a specific project.
Parameters:
projectId: The ID of the projectCreates a new feature flag within a project.
Parameters:
projectId: The ID of the projectname: The name of the feature flagdescription: A description of the feature flagtype: The type of the feature flag (e.g., "release", "experiment", "operational", "kill-switch")Updates an existing feature flag.
Parameters:
projectId: The ID of the projectfeatureId: The ID of the feature flagdescription: A new description for the feature flagtype: A new type for the feature flagRetrieves details about a specific feature flag.
Parameters:
projectId: The ID of the projectfeatureId: The ID of the feature flagTo use this MCP server with Cursor, use the following command in your cursor settings
env UNLEASH_API_URL=XXXX UNLEASH_AUTH_TOKEN=XXX npx -y @ylin6/unleash-ff-mcp-server
Example conversation with Cursor/Claude:
You: Show me all the feature flags in the 'dashboard' project
Claude: I'll fetch all the feature flags in the 'dashboard' project for you.
[Claude uses the getFeatures tool with projectId='dashboard']
Claude: Here are all the feature flags in the 'website' project:
- new-homepage (type: release)
- dark-mode (type: experiment)
- beta-footer (type: operational)
...
To inspect the MCP server's operations, you can run:
npm run inspect
This uses the MCP inspector to analyze request/response patterns.
ISC
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.