• Quickstart
• Usage Examples
• Why Forge?
• Command-Line Options
• Advanced Configuration
  • Provider Configuration
  • forge.yaml Configuration Options
  • MCP Configuration
  • Example Use Cases
  • Usage in Multi-Agent Workflows
• Documentation
• Community
• Support Us

> Can you explain how the authentication system works in this codebase?

Forge will analyze your project's structure, identify authentication-related files, and provide a detailed explanation of the authentication flow, including the relationships between different components.

> I need to add a dark mode toggle to our React application. How should I approach this?

Forge will suggest the best approach based on your current codebase, explain the steps needed, and even scaffold the necessary components and styles for you.

> I'm getting this error: "TypeError: Cannot read property 'map' of undefined". What might be causing it?

Forge will analyze the error, suggest potential causes based on your code, and propose different solutions to fix the issue.

> Please review the code in src/components/UserProfile.js and suggest improvements

Forge will analyze the code, identify potential issues, and suggest improvements for readability, performance, security, and maintainability.

> I want to integrate GraphQL into this Express application. Can you explain how to get started?

Forge will provide a tailored tutorial on integrating GraphQL with Express, using your specific project structure as context.

> I need to design a database schema for a blog with users, posts, comments, and categories

Forge will suggest an appropriate schema design, including tables/collections, relationships, indexes, and constraints based on your project's existing database technology.

> Help me refactor this class-based component to use React Hooks

Forge can help modernize your codebase by walking you through refactoring steps and implementing them with your approval.

> I need to merge branch 'feature/user-profile' into main but there are conflicts

Forge can guide you through resolving git conflicts, explaining the differences and suggesting the best way to reconcile them.

# .env
FORGE_KEY=ForgeKey

To use Forgecode's provider with Forge:

1. Visit https://app.forgecode.dev/
2. Login with your existing credentials or create a new account
3. Once logged in, your account will automatically enable the Forge Provider

No changes in forge.yaml required

# .env
OPENROUTER_API_KEY=<your_openrouter_api_key>

No changes in forge.yaml required

# .env
OPENAI_API_KEY=<your_openai_api_key>

# forge.yaml
model: o3-mini-high

# .env
ANTHROPIC_API_KEY=<your_anthropic_api_key>

# forge.yaml
model: claude-3.7-sonnet

# .env
PROJECT_ID=<your_project_id>
LOCATION=<your_location>
OPENAI_API_KEY=<vertex_ai_key>
OPENAI_URL=https://${LOCATION}-aiplatform.googleapis.com/v1beta1/projects/${PROJECT_ID}/locations/${LOCATION}/endpoints/openapi

# forge.yaml
model: publishers/anthropic/models/claude-3-7-sonnet

# .env
OPENAI_API_KEY=<your_provider_api_key>
OPENAI_URL=<your_provider_url>

# forge.yaml
model: <provider-specific-model>

# .env
OPENAI_API_KEY=<your_groq_api_key>
OPENAI_URL=https://api.groq.com/openai/v1

# forge.yaml
model: deepseek-r1-distill-llama-70b

To use Amazon Bedrock models with Forge, you'll need to first set up the Bedrock Access Gateway:

1. Set up Bedrock Access Gateway:

   • Follow the deployment steps in the Bedrock Access Gateway repo
   • Create your own API key in Secrets Manager
   • Deploy the CloudFormation stack
   • Note your API Base URL from the CloudFormation outputs

2. Create these files in your project directory:

   # .env
   OPENAI_API_KEY=<your_bedrock_gateway_api_key>
   OPENAI_URL=<your_bedrock_gateway_base_url>

   # forge.yaml
   model: anthropic.claude-3-opus

Add your own guidelines that all agents should follow when generating responses.

# forge.yaml
custom_rules: |
  1. Always add comprehensive error handling to any code you write.
  2. Include unit tests for all new functions.
  3. Follow our team's naming convention: camelCase for variables, PascalCase for classes.

Define custom commands as shortcuts for repetitive prompts:

# forge.yaml
commands:
  - name: "refactor"
    description: "Refactor selected code"
    prompt: "Please refactor this code to improve readability and performance"

Specify the default AI model to use for all agents in the workflow.

# forge.yaml
model: "claude-3.7-sonnet"

Control how deeply Forge traverses your project directory structure when gathering context.

# forge.yaml
max_walker_depth: 3 # Limit directory traversal to 3 levels deep

Adjust the creativity and randomness in AI responses. Lower values (0.0-0.3) produce more focused, deterministic outputs, while higher values (0.7-2.0) generate more diverse and creative results.

# forge.yaml
temperature: 0.7 # Balanced creativity and focus

The MCP feature allows AI agents to communicate with external tools and services. This implementation follows Anthropic's Model Context Protocol design.

MCP Configuration

Configure MCP servers using the CLI:

# List all MCP servers
forge mcp list

# Add a new server
forge mcp add

# Add a server using JSON format
forge mcp add-json

# Get server details
forge mcp get

# Remove a server
forge mcp remove

Or manually create a .mcp.json file with the following structure:

{
  "mcpServers": {
    "server_name": {
      "command": "command_to_execute",
      "args": ["arg1", "arg2"],
      "env": { "ENV_VAR": "value" }
    },
    "another_server": {
      "url": "http://localhost:3000/events"
    }
  }
}

MCP configurations are read from two locations (in order of precedence):

1. Local configuration (project-specific)
2. User configuration (user-specific)

Example Use Cases

MCP can be used for various integrations:

• Web browser automation
• External API interactions
• Tool integration
• Custom service connections

Usage in Multi-Agent Workflows

MCP tools can be used as part of multi-agent workflows, allowing specialized agents to interact with external systems as part of a collaborative problem-solving approach.