What does Blockscout MCP Server do?
It acts as a bridge between AI models and the Blockscout API, providing a set of MCP tools to fetch blockchain data without manual API calls.
@karacurt
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"blockscout-mcp": {
"command": "npx",
"args": [
"-y",
"blockscout-mcp"
],
"env": {
"BLOCKSCOUT_API_URL": ""
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Model Context Protocol (MCP) server that provides a standardized interface for AI models to interact with the Blockscout API, enabling access to blockchain data such as block numbers, account balances, transactions, and contract calls.
Install globally via npm, set the BLOCKSCOUT_API_URL environment variable to a Blockscout API endpoint, then configure the server in Cursor’s mcp.json using the command npx -y blockscout-mcp. The server exposes over 40 tools for querying blockchain data.
It acts as a bridge between AI models and the Blockscout API, providing a set of MCP tools to fetch blockchain data without manual API calls.
Node.js v16 or higher and npm are required. The server must be installed globally to be discoverable by Cursor.
Set the environment variable `BLOCKSCOUT_API_URL` to the desired Blockscout API endpoint (e.g., `https://mainnet.game7.io/api`). Then add the server to Cursor’s MCP configuration with the command `npx -y blockscout-mcp`.
The server provides tools for transactions, blocks, token transfers, smart contracts, addresses, NFTs, withdrawals, market charts, and indexing status.
Yes, because the API URL is configurable via the `BLOCKSCOUT_API_URL` environment variable, allowing connection to any Blockscout-compatible endpoint.
A search tool helps dev to solve the naming things problem.

Model Context Protocol Servers
A curated list of references for MLOps

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
コメント