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Give your AI assistant or coding agent direct access to the Blockradar docs, so it answers from current documentation instead of what it remembers from training. There are three ways to do it:

Connect the MCP server

The Blockradar docs MCP server is hosted at:
It uses the Streamable HTTP transport and needs no API key. Once connected, your AI tool can:
  • Search the docs for guides, code examples, and API reference pages.
  • Read pages and the OpenAPI spec to look up exact endpoints, parameters, and response fields.
  • Report a docs problem to the Blockradar team when a page is wrong or out of date.
The MCP server reads public documentation only. It can’t access your Blockradar account, wallets, or transactions, and it doesn’t call the Blockradar API.
Using Cursor or VS Code? Open the menu next to Copy page and choose Connect to Cursor or Connect to VS Code to install the server in one click.
Run this command in your terminal:
This adds the server to the current project. To use it in every project, run the same command with --scope user.

What to ask it

Once connected, your assistant answers from the docs instead of guessing at endpoints. Try one of these — if the server is connected, it searches the Blockradar docs before it answers:
  • “Create a child address on Base and verify the x-blockradar-signature header when a USDC deposit webhook arrives.”
  • “Estimate the network fee for a USDT withdrawal on Tron before I execute it.”
  • “Move USDC from Base to Arbitrum with Gateway, and tell me how long finality takes on each chain.”
  • “Validate a customer-supplied Solana address before I queue a withdrawal, and show me what an invalid address returns.”

Chat about a page

Every docs page has a Copy page button in the top-right corner. Open the menu next to it for more options: The page menu on a Blockradar docs page, open and showing Copy page, View as Markdown, Open in ChatGPT, Open in Claude, Open in Perplexity, Copy MCP Server, Connect to Cursor, and Connect to VS Code Use it to ask questions about one page, generate code from an API reference page, or debug an integration with the right page loaded.

Fetch the docs as Markdown

For scripts, custom agents, and RAG pipelines, load the docs as plain text: