Connect to AI tools through built-in MCP servers, contextual menus, and llms.txt files.
Quick Start
1
Open the contextual menu
Click the contextual menu button (usually in the top-right corner) on any documentation page.
2
Choose your AI tool
Select Connect to Cursor or Connect to VS Code for automatic installation.
3
Start asking questions
Your AI tool now has access to CNAP documentation.
Try asking: “How do I create a new product in CNAP?”
Built-in Features
MCP Server
An MCP server enables AI tools to search and interact with CNAP documentation in real-time.Available at
https://docs.cnap.tech/mcp
- no configuration needed.Contextual Menu
Quick actions available on every page:- Copy page: Copy as Markdown for AI tools
- View as Markdown: Open page as Markdown
- Open in ChatGPT: Create conversation with current page
- Open in Claude: Create conversation with current page
- Open in Perplexity: Create conversation with current page
- Copy MCP server URL: Copy URL to clipboard
- Connect to Cursor: Auto-install MCP server
- Connect to VS Code: Auto-install MCP server
LLMs.txt Files
Industry-standard files for efficient AI indexing:- llms.txt: All pages with descriptions
- llms-full.txt: Complete documentation in one file
Manual Configuration
- Claude Desktop
- Claude Connectors
- Claude Code
- Cursor
- VS Code
- Goose
Configuration File Location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- Linux:
~/.config/claude/claude_desktop_config.json
claude_desktop_config.json
We recommend pnpm for better caching and performance. The full path ensures compatibility across systems.
Example Questions
Ask your AI assistant about CNAP:- “How do I create a new product in CNAP?”
- “What are the requirements for importing a cluster?”
- “How does the payment system work?”
- “What’s the difference between managed and imported clusters?”
- “How do I set up pricing for my products?”
The MCP server provides real-time data for accurate, up-to-date answers.
Benefits
- Zero Configuration: Automatic setup through contextual menu
- Always Current: Real-time data from latest documentation
- Context-Aware: AI understands your specific CNAP setup
- Comprehensive: Access to all docs, APIs, and guides
- Fast: Instant answers without manual searching
Troubleshooting
MCP Server Not Connecting
MCP Server Not Connecting
- Verify URL:
https://docs.cnap.tech/mcp
- Check internet connection
- Ensure AI tool supports MCP protocol
- Try contextual menu for automatic setup
Configuration Not Loading
Configuration Not Loading
- Check JSON syntax in config files
- Verify file permissions
- Confirm correct file location
- Restart your AI application
Outdated Information
Outdated Information
- MCP server provides real-time data
- Restart MCP connection
- Clear cached responses in AI app
- Verify correct MCP server URL
Need Help?
- Automatic Setup: Use contextual menu first
- Check Logs: Review MCP connection logs
- Test Connection: Access
https://docs.cnap.tech/mcp
directly - Community: Join our Discord
- Advanced: See MCP specification
Advanced
Markdown Access
Access any page as Markdown by appending.md
:
- Example:
https://docs.cnap.tech/llms-agents.md
LLMs.txt Files
- llms.txt:
https://docs.cnap.tech/llms.txt
- llms-full.txt:
https://docs.cnap.tech/llms-full.txt
Coming Soon: API Integration
Direct API integration for AI agents will enable:- Automated Deployments: Deploy via AI commands
- Cluster Management: Manage infrastructure with natural language
- Intelligent Monitoring: AI-powered insights
- Custom Workflows: Build AI-driven automation
Planned Features
- Natural language interface: “Deploy my product to US-East”
- AI-driven resource optimization
- Automated troubleshooting assistance
- Custom AI agents for CNAP workflows
API integration coming in a future release. Subscribe for updates.
Use AI assistants to interact with CNAP through natural language, making cloud infrastructure management simpler.