Qng MCP Server

Overview

The qng‑mcp server is a lightweight, Model Context Protocol (MCP) implementation that exposes the data and tooling of the qNG blockchain to AI assistants. By wrapping the underlying JSON‑RPC endpoints in an MCP interface, it allows assistants such as Claude to query blockchain state, retrieve transaction details, and perform on‑chain analytics without needing custom integrations. This solves the problem of fragmented blockchain access for AI workflows, giving developers a single point of entry to rich on‑chain data.

At its core, the server runs an HTTP or Server‑Sent Events (SSE) endpoint that maps qNG RPC calls to MCP tools. Developers can launch the server in stdio mode, where it is invoked via a command line and communicates through standard input/output, or in SSE mode, where it streams tool invocations over a WebSocket‑like channel. The server automatically loads the qNG client library and registers three primary tools: block count retrieval, block detail lookup by order, and state‑root inspection. Each tool exposes a clear, typed interface that the assistant can call with natural language prompts such as “qng latest block count” or “qng tx count of block order 1590344.” The assistant then receives a concise, human‑readable answer that can be incorporated into a conversation or used to trigger downstream logic.

Key capabilities include:

• Real‑time blockchain insight – Fetch current block heights, transaction counts, and state roots instantly.
• Typed tool definitions – Each operation has a defined schema, enabling robust validation and autocomplete for developers.
• Flexible deployment – Support for Docker, native executables, and SSE streams allows the server to fit into CI/CD pipelines or local dev environments.
• Extensibility – The configuration file can be expanded to add new RPC calls or custom logic, making the server adaptable as qNG evolves.

Real‑world use cases abound. A fintech startup can let an AI assistant answer user queries about account balances or recent transactions by simply invoking the appropriate qNG tool. A blockchain explorer can surface historical data in conversational form, reducing friction for non‑technical users. Developers building decentralized applications can use the server to validate state roots before committing smart contract changes, all through a single MCP‑compatible interface.

Because it follows the MCP standard, qng‑mcp integrates seamlessly with any AI platform that supports the protocol. Once registered in an assistant’s configuration, the tools become first‑class commands that can be invoked through natural language or scripted workflows. This tight coupling eliminates the need for custom adapters, accelerates development cycles, and ensures that AI agents have reliable, low‑latency access to the most up‑to‑date blockchain information.