This server enables AI assistants to manage Featureflow feature flags, projects, and environments programmatically through the Model Context Protocol.
Core Capabilities:
Account Management: Get current user and organization information
Project Management: List, create, view, update, and delete projects with search filtering
Feature Flag Management: Full lifecycle management including create, update, clone, archive/unarchive, and delete with filters for project, archived status, and predefined filters (maintaining, bookmarked, recent)
Feature Control Configuration: View and modify feature settings per environment including enable/disable states, off variants, and targeting rules
Environment Management: Create, list, update, and delete environments with cloning capabilities and safeguards
Targeting System: List and view targeting attributes (user attributes) used for A/B testing rules
API Key Management: List SDK API keys for environments (server and client types)
Self-Hosted Support: Configure for self-hosted Featureflow instances
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Featureflow MCP Serverenable the 'dark-mode' feature in production"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Featureflow MCP Server
An MCP (Model Context Protocol) server for Featureflow feature flag management. This enables AI assistants like Claude to interact with your Featureflow instance to manage feature flags, projects, environments, and more.
Quick Start
1. Create a Personal Access Token
Log into Featureflow as an administrator
Navigate to Administration → API Tokens
Click Create Token and copy the token (starts with
api-)
2. Configure in Cursor
Add to your ~/.cursor/mcp.json:
3. Restart Cursor
Press Cmd+Shift+P → "MCP: Restart Servers" or restart Cursor.
That's it! You can now ask Claude to manage your feature flags.
Configuration
Environment Variable | Description | Default |
| Personal Access Token (required) | - |
| API base URL (optional) |
|
Self-Hosted Featureflow
If you're running a self-hosted Featureflow instance:
Available Tools
Account
Tool | Description |
| Get the currently authenticated user and organization |
Projects
Tool | Description |
| List all projects, optionally filtered by query |
| Get a specific project by ID or key |
| Create a new project |
| Update an existing project |
| Delete a project |
Features
Tool | Description |
| List features with optional filters |
| Get a specific feature by ID or unified key |
| Create a new feature flag |
| Update an existing feature |
| Clone a feature with a new key |
| Archive or unarchive a feature |
| Delete a feature |
Feature Controls
Tool | Description |
| Get feature control settings for an environment |
| Enable/disable features, modify rules |
Environments
Tool | Description |
| List environments for a project |
| Get a specific environment |
| Create a new environment |
| Update an existing environment |
| Delete an environment |
Targets & API Keys
Tool | Description |
| List targeting attributes for a project |
| Get a specific target by key |
| List SDK API keys for an environment |
Example Usage
Once configured, you can ask Claude things like:
"Who am I logged in as in Featureflow?"
"List all my Featureflow projects"
"Create a feature called 'new-checkout' in the 'webapp' project"
"Enable the 'dark-mode' feature in production"
"What features are currently enabled in staging?"
"Disable 'beta-feature' in all environments"
Development
License
MIT - see LICENSE for details.
Links
Featureflow - Feature flag management platform
MCP Protocol - Model Context Protocol specification
Featureflow Documentation - API documentation