AI Integration
Ecotone provides multiple ways for AI assistants and code editors to access up-to-date documentation. This ensures AI tools give accurate, current answers about Ecotone Framework.
MCP Server (Model Context Protocol)
The MCP server provides direct access to Ecotone documentation for AI assistants that support the Model Context Protocol.
MCP Server URL:
https://docs.ecotone.tech/~gitbook/mcpVSCode / Cursor Integration
Click the link below to instantly add Ecotone MCP to your VSCode or Cursor:
Or manually add to your MCP settings:
{
"servers": {
"Ecotone": {
"url": "https://docs.ecotone.tech/~gitbook/mcp"
}
}
}Claude Desktop
Add to your Claude Desktop MCP configuration (claude_desktop_config.json):
Context7 Integration
Context7 provides up-to-date documentation for LLMs and AI code editors. Ecotone documentation is available through Context7.
Using Context7 MCP
Add Context7 MCP to access Ecotone and other library documentation:
Then query Ecotone documentation through your AI assistant with Context7 enabled.
LLMs.txt
Ecotone follows the llmstxt.org specification for AI-friendly documentation.
Available files:
Concise overview with key links
Extended documentation with code examples
These files are automatically discovered by AI crawlers via robots.txt.
Best Practices for AI-Assisted Development
When using AI assistants with Ecotone:
Enable MCP - Connect the Ecotone MCP server for real-time documentation access
Reference specific features - Ask about specific patterns like "Ecotone Saga" or "Ecotone Event Sourcing"
Include context - Mention your framework (Symfony/Laravel) for framework-specific guidance
Verify code - Always test AI-generated code against the official documentation
Supported AI Tools
Ecotone documentation integrates with:
Claude (via MCP or direct context)
ChatGPT (via llms.txt)
Cursor (via MCP)
VSCode Copilot (via MCP)
Windsurf (via MCP)
Context7-enabled tools
Resources
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