🟠 Anthropic (Claude) Models

Anthropic's Claude models are renowned for their exceptional reasoning abilities, safety-focused training, and large context windows. Claude excels at complex analysis, coding, and problem-solving tasks.

🏆 Why Choose Anthropic (Claude)?

Anthropic (Claude) Advantages

📊 Available Models

Model	Context Window	Best For	Input Cost	Output Cost
Claude 3 Opus	200K tokens	Complex reasoning, analysis	$15/1M tokens	$75/1M tokens
Claude 3 Sonnet	200K tokens	General purpose, coding	$3/1M tokens	$15/1M tokens
Claude 3 Haiku	200K tokens	Fast, cost-effective	$0.25/1M tokens	$1.25/1M tokens

🚀 Getting Started

Step 1: Create Anthropic Account

1. Visit Anthropic Console
2. Sign up with your email or Google account
3. Verify your email address
4. Complete account setup (no payment required initially)

Step 2: Add Payment Method

Anthropic Payment Setup

Note: Anthropic offers a free tier with limited usage before requiring payment.

Step 3: Generate API Key

1. Navigate to API Keys
2. Click "Create Key"
3. Give it a descriptive name (e.g., "MCP for WP Production")
4. Copy the key immediately (starts with sk-ant-)
5. Store it securely (use a password manager)

Step 4: Configure in MCP for WP

1. Go to MCP for WP > Settings
2. Find the "Claude API Key" field
3. Paste your API key
4. Click "Test Connection" to verify
5. Save settings

⚙️ Model Configuration

Default Settings

json

{
  "model": "claude-3-sonnet-20240229",
  "max_tokens": 1000,
  "temperature": 0.7,
  "top_p": 1.0,
  "top_k": 40
}

Parameter Guide

Model Selection

• claude-3-opus-20240229: Most capable, best for complex reasoning
• claude-3-sonnet-20240229: Balanced performance and cost
• claude-3-haiku-20240307: Fastest, most cost-effective

Max Tokens

• Range: 1 to 4096
• Recommendation: Start with 1000, adjust based on needs
• Cost Impact: Higher values = more expensive responses

Temperature

• Range: 0.0 to 1.0
• 0.0: Deterministic, consistent responses
• 0.7: Balanced creativity and consistency
• 1.0: More creative, varied responses

Top P (Nucleus Sampling)

• Range: 0.0 to 1.0
• 1.0: Consider all tokens equally
• 0.9: Consider top 90% of probability mass
• Use with temperature for fine-tuned control

Top K

• Range: 1 to 100
• Default: 40
• Lower values: More focused responses
• Higher values: More diverse responses

💰 Pricing & Usage

Cost Calculator

Claude Cost Calculation

Usage Limits

Plan	Rate Limit	Monthly Limit
Free Tier	5 requests/minute	Limited usage
Pay-as-you-go	50 requests/minute	No limit
Enterprise	Custom	Custom

Cost Optimization Tips

1. Use Claude 3 Haiku for simple tasks
2. Use Claude 3 Sonnet for most work
3. Use Claude 3 Opus only for complex reasoning
4. Set appropriate max_tokens to avoid over-generation
5. Monitor usage in Anthropic dashboard

🔧 Advanced Configuration

System Messages

json

{
  "messages": [
    {
      "role": "user",
      "content": "You are a helpful coding assistant. Please help me with this WordPress question."
    }
  ],
  "system": "You are Claude, an AI assistant created by Anthropic. You are helpful, harmless, and honest."
}

Tool Use (Function Calling)

json

{
  "model": "claude-3-sonnet-20240229",
  "messages": [
    {
      "role": "user",
      "content": "What's the weather in San Francisco?"
    }
  ],
  "tools": [
    {
      "name": "get_weather",
      "description": "Get current weather for a location",
      "input_schema": {
        "type": "object",
        "properties": {
          "location": {
            "type": "string",
            "description": "City name"
          }
        },
        "required": ["location"]
      }
    }
  ]
}

Streaming Responses

javascript

// For real-time responses
const response = await anthropic.messages.create({
  model: "claude-3-sonnet-20240229",
  max_tokens: 1000,
  messages: [{ role: "user", content: "Tell me a story" }],
  stream: true
});

🛠️ Use Cases & Examples

Complex Analysis

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "data": {
        "type": "string",
        "description": "Data to analyze"
      },
      "analysis_type": {
        "type": "string",
        "enum": ["trends", "patterns", "insights", "recommendations"],
        "description": "Type of analysis"
      },
      "context": {
        "type": "string",
        "description": "Additional context"
      }
    },
    "required": ["data", "analysis_type"]
  }
}

Recommended Settings:

• Model: claude-3-opus-20240229
• Temperature: 0.3
• Max Tokens: 2000

Code Review & Generation

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "code": {
        "type": "string",
        "description": "Code to review or generate"
      },
      "language": {
        "type": "string",
        "description": "Programming language"
      },
      "task": {
        "type": "string",
        "enum": ["review", "generate", "debug", "optimize"],
        "description": "What to do with the code"
      }
    },
    "required": ["code", "language", "task"]
  }
}

Recommended Settings:

• Model: claude-3-sonnet-20240229
• Temperature: 0.1
• Max Tokens: 1500

Research & Writing

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "topic": {
        "type": "string",
        "description": "Research topic"
      },
      "output_format": {
        "type": "string",
        "enum": ["summary", "report", "article", "outline"],
        "description": "Desired output format"
      },
      "sources": {
        "type": "string",
        "description": "Source materials (optional)"
      }
    },
    "required": ["topic", "output_format"]
  }
}

Recommended Settings:

• Model: claude-3-opus-20240229
• Temperature: 0.5
• Max Tokens: 3000

🔍 Troubleshooting

Common Issues

"Invalid API Key" Error

• Cause: Incorrect or expired API key
• Solution: Regenerate API key in Anthropic console
• Prevention: Store keys securely, rotate regularly

"Rate Limit Exceeded" Error

• Cause: Too many requests per minute
• Solution: Implement exponential backoff
• Prevention: Monitor usage, implement rate limiting

"Context Length Exceeded" Error

• Cause: Input too long for model context
• Solution: Reduce input length (Claude supports up to 200K tokens)
• Prevention: Set appropriate max_tokens

"Model Not Found" Error

• Cause: Model name typo or unavailable model
• Solution: Check model name spelling
• Prevention: Use exact model names from API

Debugging Tips

1. Check API key in Anthropic console
2. Monitor usage and billing
3. Review request logs in MCP for WP
4. Test with Anthropic Console first
5. Check rate limits and quotas

📚 Additional Resources

Official Documentation

• Anthropic API Documentation
• API Reference
• Model Comparison
• Safety Guidelines

Community Resources

• Anthropic Discord
• GitHub Examples
• Community Forum

Pricing & Billing

• Pricing Calculator
• Usage Dashboard
• Billing FAQ

🔐 Security Best Practices

1. Never expose API keys in client-side code
2. Use environment variables for key storage
3. Implement rate limiting to prevent abuse
4. Monitor usage for unusual patterns
5. Rotate keys regularly
6. Use least privilege access

🛡️ Safety Features

Claude is built with safety in mind:

• Constitutional AI: Trained to be helpful, harmless, and honest
• Content filtering: Built-in safety measures
• Transparency: Clear about capabilities and limitations
• Alignment: Designed to follow human values

📞 Support

Anthropic Support

• Help Center: support.anthropic.com
• Email Support: Available for all users
• Discord Community: discord.gg/anthropic

MCP for WP Support

• Documentation: This guide and related pages
• GitHub Issues: Report bugs or request features
• Community: Join our Discord for help

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Ready to get started? Configure your Claude integration or explore other providers!