MCP Server
Access the entire avnu Developers documentation through Anthropic’s Model Context Protocol (MCP) for seamless AI-assisted development.Connect to MCP Server
Use this MCP endpoint with Claude Desktop, Claude Code, or any MCP-compatible AI tool
Available Tools
The MCP server provides the following tools:SearchAvnuDevelopers
SearchAvnuDevelopers
Search across the avnu Developers knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to:
- Answer questions about avnu Developers
- Find specific documentation
- Understand how features work
- Locate implementation details
LLMs.txt Files
We provide machine-readable documentation files following the llms.txt standard for direct AI consumption:llms.txt
Compact index - A structured list of all documentation pages with titles, descriptions, and URLs. Perfect for AI tools to understand what’s available.
llms-full.txt
Full content - Complete documentation content in a single file. Ideal for feeding entire docs context to LLMs.
Context7
Context7 injects up-to-date documentation directly into your LLM prompts. Just say “use context7” and it fetches the latest docs automatically.Install
- Claude Code
- Cursor
- Claude Desktop
Use with avnu
Add “use context7” to any prompt:Setup Instructions
- Claude Desktop
- Claude Code
- Cursor
Add the MCP server to your Claude Desktop configuration:Configuration file location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Example Queries
Once connected, you can ask your AI assistant questions like:API Questions
“How do I get a swap quote from avnu?”“Show me how to use the paymaster API”
Implementation Help
“Build a swap integration with TypeScript”“How do I stake STRK tokens?”
Troubleshooting
“Why am I getting insufficient balance error?”“How do slippage settings work?”
Best Practices
“What’s the best way to handle integrator fees?”“How should I optimize gas for swaps?”
Benefits of AI-Assisted Development
Faster Onboarding
Get instant answers to questions without leaving your code editor
Code Generation
Generate boilerplate code for common integration patterns
Best Practices
Learn recommended approaches directly from documentation
Error Resolution
Quickly troubleshoot issues with contextual help
API Discovery
Explore features and capabilities through natural language
Always Updated
Access the latest documentation automatically
Feedback & Support
Join Developer Community
Share feedback on AI integration and get help from the avnu team