> ## Documentation Index
> Fetch the complete documentation index at: https://docs.blockradar.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Use Blockradar with LLMs

> Use AI tools to search, understand, and build with the Blockradar documentation.

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.

## 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.

## 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.

<Tabs>
  <Tab title="Claude Desktop">
    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`

    ```json theme={null}
    {
      "mcpServers": {
        "blockradar-docs": {
          "command": "npx",
          "args": ["-y", "@mintlify/mcp", "--url", "https://docs.blockradar.co"]
        }
      }
    }
    ```

    Restart Claude Desktop after saving.
  </Tab>

  <Tab title="Claude Code">
    Run this command in your terminal:

    ```bash theme={null}
    claude mcp add blockradar-docs -- npx -y @mintlify/mcp --url https://docs.blockradar.co
    ```
  </Tab>

  <Tab title="Cursor">
    Add this to your Cursor MCP configuration (`.cursor/mcp.json`):

    ```json theme={null}
    {
      "mcpServers": {
        "blockradar-docs": {
          "command": "npx",
          "args": ["-y", "@mintlify/mcp", "--url", "https://docs.blockradar.co"]
        }
      }
    }
    ```
  </Tab>

  <Tab title="Windsurf">
    Add this to your Windsurf MCP configuration (`~/.codeium/windsurf/mcp_config.json`):

    ```json theme={null}
    {
      "mcpServers": {
        "blockradar-docs": {
          "command": "npx",
          "args": ["-y", "@mintlify/mcp", "--url", "https://docs.blockradar.co"]
        }
      }
    }
    ```
  </Tab>
</Tabs>

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.

## LLM feed files

Blockradar publishes machine-readable documentation indexes that LLM tools can consume directly:

| File            | Content                                     | URL                                                                          |
| --------------- | ------------------------------------------- | ---------------------------------------------------------------------------- |
| `llms.txt`      | Page index with titles and descriptions     | [docs.blockradar.co/llms.txt](https://docs.blockradar.co/llms.txt)           |
| `llms-full.txt` | Full documentation content in a single file | [docs.blockradar.co/llms-full.txt](https://docs.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.