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Blockradar documentation is designed to work with AI tools. You can copy any page as Markdown, open it directly in your favorite AI assistant, or connect a documentation MCP server to your development environment for contextual searches, code generation, and troubleshooting — no copy-pasting required.

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Chat with any page

Every page in the Blockradar docs includes a contextual menu (top-right corner) that lets you interact with the content using AI tools:
  • Copy as Markdown — Copy the full page content as clean Markdown, ready to paste into any LLM conversation.
  • Open in Claude — Send the page directly to Claude with full context loaded.
  • Open in ChatGPT — Send the page directly to ChatGPT.
  • Open in Perplexity — Send the page to Perplexity for research-style queries.
Use this when you want to ask questions about a specific page, generate code based on an API reference, or troubleshoot an integration issue with full documentation context.

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Connect the MCP server

The Blockradar documentation MCP server lets AI assistants search and retrieve documentation automatically. Once connected, your AI tool can explore our docs on its own — no need to manually copy content.
Add this to your Claude Desktop MCP configuration file:macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "blockradar-docs": {
      "command": "npx",
      "args": ["-y", "@mintlify/mcp", "--url", "https://docs.blockradar.co"]
    }
  }
}
Restart Claude Desktop after saving.
Once connected, your AI assistant can search across all Blockradar documentation, retrieve API reference details, and answer questions about wallets, addresses, webhooks, transactions, and every other Blockradar feature — directly inside your development workflow.

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LLM feed files

Blockradar publishes machine-readable documentation indexes that LLM tools can consume directly:
FileContentURL
llms.txtPage index with titles and descriptionsdocs.blockradar.co/llms.txt
llms-full.txtFull documentation content in a single filedocs.blockradar.co/llms-full.txt
Use llms.txt when you need a lightweight overview for tool discovery. Use llms-full.txt when you want to load the entire Blockradar documentation into a custom AI workflow or RAG pipeline.