🤖 AI Providers Overview
MCP for WP supports integration with 7 major AI providers, giving you access to the most advanced language models available today. Each provider offers unique capabilities, pricing models, and performance characteristics.
📊 Provider Comparison
| Provider | Best For | Pricing | Speed | Context Window | Latest Models |
|---|---|---|---|---|---|
| OpenAI | General purpose, coding | Pay-per-token | Fast | 128K tokens | GPT-4 Turbo |
| Anthropic (Claude) | Analysis, reasoning | Pay-per-token | Medium | 200K tokens | Claude 3 Opus |
| Gemini | Multimodal, research | Pay-per-token | Fast | 1M tokens | Gemini 1.5 Pro |
| Llama | Open source, cost-effective | Variable | Fast | 32K tokens | Llama 3 70B |
| Mistral | European compliance | Pay-per-token | Fast | 32K tokens | Mistral Large |
| Cohere | Enterprise, RAG | Pay-per-token | Fast | 128K tokens | Command R+ |
| Qwen | Multilingual, cost-effective | Pay-per-token | Fast | 32K tokens | Qwen Max |
🎯 Quick Start Guide
1. Choose Your Provider
- Consider your use case, budget, and compliance requirements
- Review the detailed provider guides below
- Check pricing and rate limits
2. Get API Access
- Sign up for the provider's developer account
- Generate your API key
- Note any usage limits or restrictions
3. Configure in MCP for WP
- Go to MCP for WP > Settings
- Enter your API key
- Test the connection
- Select your preferred model
4. Create Your First Tool
- Navigate to MCP for WP > Add New Tool
- Choose your provider and model
- Define input/output schemas
- Test and deploy
📚 Provider Guides
OpenAI Models
The most widely-used AI provider with powerful models for general-purpose tasks.
Key Features:
- Industry-leading performance
- Extensive documentation and community support
- Reliable API with high uptime
- Strong coding and reasoning capabilities
Anthropic (Claude) Models
Anthropic's safety-focused models with exceptional reasoning abilities.
Key Features:
- Superior reasoning and analysis
- Large context windows (up to 200K tokens)
- Safety-focused training
- Excellent for complex problem-solving
Gemini Models
Google's multimodal models with massive context windows.
Key Features:
- Multimodal capabilities (text, images, audio)
- Massive context windows (up to 1M tokens)
- Strong research and analysis abilities
- Competitive pricing
Llama Models
Open-source models available through multiple hosting providers.
Key Features:
- Open-source foundation
- Multiple hosting options (Groq, Replicate, custom)
- Cost-effective for high-volume usage
- Customizable and self-hostable
Mistral Models
European AI models with strong performance and compliance.
Key Features:
- European data compliance
- Strong multilingual capabilities
- Competitive pricing
- Fast inference speeds
Cohere Models
Enterprise-focused models with excellent RAG capabilities.
Key Features:
- Specialized in retrieval-augmented generation (RAG)
- Strong enterprise features
- Excellent for document processing
- Reliable API with good uptime
Qwen Models
Alibaba's multilingual models with competitive pricing.
Key Features:
- Strong multilingual support
- Cost-effective pricing
- Good performance for Asian languages
- Reliable API infrastructure
🔧 Common Parameters
All providers support these common parameters (with provider-specific variations):
Core Parameters
- Model: The specific AI model to use
- Max Tokens: Maximum length of the response
- Temperature: Controls randomness (0.0 = deterministic, 1.0 = creative)
Advanced Parameters
- Top P: Nucleus sampling for response diversity
- Frequency Penalty: Reduces repetition
- Presence Penalty: Encourages new topics
- Stop Sequences: Custom stopping conditions
💡 Best Practices
Model Selection
- Start with the default model for each provider
- Upgrade for complex tasks that require more capability
- Consider cost vs. performance for high-volume usage
- Test multiple models to find the best fit for your use case
Parameter Tuning
- Use lower temperature (0.1-0.3) for factual tasks
- Use higher temperature (0.7-0.9) for creative tasks
- Set appropriate max tokens to control response length
- Monitor usage and costs regularly
Error Handling
- Implement retry logic for transient failures
- Handle rate limits gracefully
- Log errors for debugging
- Provide fallback options when possible
📞 Support
If you need help with a specific provider:
- Check the provider's official documentation (linked in each guide)
- Review our troubleshooting guide for common issues
- Test your API key using the connection test feature
- Check the execution logs for detailed error information
Ready to get started? Choose a provider from the list above and follow the detailed setup guide!