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