---
title: Configuration
sidebarTitle: "Configuration"

---

Before getting started with Task Master, you'll need to set up your API keys. There are a couple of ways to do this depending on whether you're using the CLI or working inside MCP. It's also a good time to start getting familiar with the other configuration options available — even if you don’t need to adjust them yet, knowing what’s possible will help down the line.

## API Key Setup

Task Master uses environment variables to securely store provider API keys and optional endpoint URLs.

### MCP Usage: mcp.json file

For MCP/Cursor usage: Configure keys in the env section of your .cursor/mcp.json file.

```java .env lines icon="java"
{
	"mcpServers": {
		"task-master-ai": {
			"command": "node",
			"args": ["./mcp-server/server.js"],
			"env": {
				"ANTHROPIC_API_KEY": "ANTHROPIC_API_KEY_HERE",
				"PERPLEXITY_API_KEY": "PERPLEXITY_API_KEY_HERE",
				"OPENAI_API_KEY": "OPENAI_API_KEY_HERE",
				"GOOGLE_API_KEY": "GOOGLE_API_KEY_HERE",
				"XAI_API_KEY": "XAI_API_KEY_HERE",
				"OPENROUTER_API_KEY": "OPENROUTER_API_KEY_HERE",
				"MISTRAL_API_KEY": "MISTRAL_API_KEY_HERE",
				"AZURE_OPENAI_API_KEY": "AZURE_OPENAI_API_KEY_HERE",
				"OLLAMA_API_KEY": "OLLAMA_API_KEY_HERE",
				"GITHUB_API_KEY": "GITHUB_API_KEY_HERE"
			}
		}
	}
}
```

### CLI Usage: `.env` File

Create a `.env` file in your project root and include the keys for the providers you plan to use:



```java .env lines icon="java"
# Required API keys for providers configured in .taskmaster/config.json
ANTHROPIC_API_KEY=sk-ant-api03-your-key-here
PERPLEXITY_API_KEY=pplx-your-key-here
# OPENAI_API_KEY=sk-your-key-here
# GOOGLE_API_KEY=AIzaSy...
# AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here
# etc.

# Optional Endpoint Overrides
# Use a specific provider's base URL, e.g., for an OpenAI-compatible API
# OPENAI_BASE_URL=https://api.third-party.com/v1
#
# Azure OpenAI Configuration
# AZURE_OPENAI_ENDPOINT=https://your-resource-name.openai.azure.com/ or https://your-endpoint-name.cognitiveservices.azure.com/openai/deployments
# OLLAMA_BASE_URL=http://custom-ollama-host:11434/api

# Google Vertex AI Configuration (Required if using 'vertex' provider)
# VERTEX_PROJECT_ID=your-gcp-project-id
```

## What Else Can Be Configured?

The main configuration file (`.taskmaster/config.json`) allows you to control nearly every aspect of Task Master’s behavior. Here’s a high-level look at what you can customize:

<Tip>
You don’t need to configure everything up front. Most settings can be left as defaults or updated later as your workflow evolves.
</Tip>

<Accordion title="View Configuration Options">

### Models and Providers
- Role-based model setup: `main`, `research`, `fallback`
- Provider selection (Anthropic, OpenAI, Perplexity, etc.)
- Model IDs per role
- Temperature, max tokens, and other generation settings
- Custom base URLs for OpenAI-compatible APIs

### Global Settings
- `logLevel`: Logging verbosity
- `debug`: Enable/disable debug mode
- `projectName`: Optional name for your project
- `defaultTag`: Default tag for task grouping
- `defaultSubtasks`: Number of subtasks to auto-generate
- `defaultPriority`: Priority level for new tasks

### API Endpoint Overrides
- `ollamaBaseURL`: Custom Ollama server URL
- `azureBaseURL`: Global Azure endpoint
- `vertexProjectId`: Google Vertex AI project ID
- `vertexLocation`: Region for Vertex AI models

### Tag and Git Integration
- Default tag context per project
- Support for task isolation by tag
- Manual tag creation from Git branches

### State Management
- Active tag tracking
- Migration state
- Last tag switch timestamp

</Accordion>

<Note>
For advanced configuration options and detailed customization, see our [Advanced Configuration Guide](/docs/best-practices/configuration-advanced) page.
</Note>