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Webacy documentation is designed to be AI-native. Whether you’re building autonomous agents, using AI coding assistants, or feeding context into LLMs, there are multiple ways to access Webacy’s API documentation programmatically.

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Complete Documentation for LLMs

Webacy publishes a plain-text version of the entire documentation site, optimized for LLM consumption and RAG systems. Use llms-full.txt to:
  • Build RAG pipelines that answer questions about Webacy’s API
  • Seed AI agents with complete API knowledge
  • Create custom chatbots for your team’s integration workflow

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Per-Page AI Access

Every documentation page has built-in AI options. Click the contextual menu on any page to:
  • Copy the page content as markdown
  • Open in Claude to discuss the page with Claude
  • Open in ChatGPT to discuss the page with ChatGPT
  • Open in Cursor to use the page as context in Cursor
You can also append .md to any page URL to get the raw markdown content. For example:

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OpenAPI Specification

The full OpenAPI 3.0 spec is published at:
Feed this to AI tools for automatic code generation, SDK creation, or API client scaffolding:

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Cursor Integration

Add Webacy docs as a documentation source in Cursor for inline context while coding. Step 1: Open Cursor Settings > Features > Docs Step 2: Click “Add new doc” and enter:
Step 3: Use @Docs in Cursor chat to reference Webacy documentation:
You can also add the Agent Reference page directly to your project’s .cursorrules file for persistent context.

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Claude Code / CLAUDE.md

For projects using Claude Code, add the Agent Reference to your CLAUDE.md file so Claude always has Webacy API context:
Or copy the content from the Agent Reference page directly into your CLAUDE.md for offline access.

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MCP Server

For the deepest AI integration, connect your AI coding assistant directly to Webacy’s API using the Model Context Protocol (MCP). This lets tools like Claude Code and Cursor query live blockchain risk data without leaving your editor.

MCP Server Setup

Connect Claude Code or Cursor to Webacy’s live risk analysis tools
The documentation site includes built-in AI-powered search. Use the search bar on any page to ask natural language questions about the API, and get AI-generated answers grounded in the documentation.

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Quick Reference