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

1. Log into Featureflow as an administrator
2. Navigate to Administration → API Tokens
3. Click Create Token and copy the token (starts with api-)

2. Configure in Cursor

Add to your ~/.cursor/mcp.json:

{
  "mcpServers": {
    "featureflow": {
      "command": "npx",
      "args": ["-y", "featureflow-mcp"],
      "env": {
        "FEATUREFLOW_API_TOKEN": "api-your-token-here"
      }
    }
  }
}

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
FEATUREFLOW_API_TOKEN	Personal Access Token (required)	-
FEATUREFLOW_API_URL	API base URL (optional)	https://beta.featureflow.io/api

Self-Hosted Featureflow

If you're running a self-hosted Featureflow instance:

{
  "mcpServers": {
    "featureflow": {
      "command": "npx",
      "args": ["-y", "featureflow-mcp"],
      "env": {
        "FEATUREFLOW_API_URL": "https://your-instance.com/api",
        "FEATUREFLOW_API_TOKEN": "api-your-token-here"
      }
    }
  }
}

Available Tools

Account

Tool	Description
get_current_user	Get the currently authenticated user and organization

Projects

Tool	Description
list_projects	List all projects, optionally filtered by query
get_project	Get a specific project by ID or key
create_project	Create a new project
update_project	Update an existing project
delete_project	Delete a project

Features

Tool	Description
list_features	List features with optional filters
get_feature	Get a specific feature by ID or unified key
create_feature	Create a new feature flag
update_feature	Update an existing feature
clone_feature	Clone a feature with a new key
archive_feature	Archive or unarchive a feature
delete_feature	Delete a feature

Feature Controls

Tool	Description
get_feature_control	Get feature control settings for an environment
update_feature_control	Enable/disable features, modify rules

Environments

Tool	Description
list_environments	List environments for a project
get_environment	Get a specific environment
create_environment	Create a new environment
update_environment	Update an existing environment
delete_environment	Delete an environment

Targets & API Keys

Tool	Description
list_targets	List targeting attributes for a project
get_target	Get a specific target by key
list_api_keys	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

# Clone the repository
git clone https://github.com/featureflow/featureflow-mcp.git
cd featureflow-mcp

# Install dependencies
npm install

# Build
npm run build

# Run locally
FEATUREFLOW_API_TOKEN=api-xxx npm start

License

MIT - see LICENSE for details.

Links

• Featureflow - Feature flag management platform
• MCP Protocol - Model Context Protocol specification
• Featureflow Documentation - API documentation