DevnorsAI/devnors-data-mcp

Devnors Data - MCP Server: MCP,Model Context Protocol,Claude,Cursor,WorkBuddy,接口,数据API,裁判文书,Legal Case,法律法规,法条,Law Article,企业工商,Company Registry,企业年报,Annual Report,税号开票,Tax Invoice,失信核查,被执行人,关键词指数,微信指数,WeChat Index,热搜榜,微博热搜,抖音热搜,快递查询,Express Tracking,统一查询,/v1/data/query,API Key,AI Agent,LLM

What it solves

This project provides a Model Context Protocol (MCP) server that allows AI assistants (like Claude Desktop, Cursor, and Codex) to directly access and query Devnors Data's extensive API suite. It bridges the gap between LLMs and real-world data sources, enabling assistants to perform complex data retrieval tasks without the user having to manually copy-paste information.

How it works

The server implements the MCP standard, allowing it to be integrated as either a remote HTTP server or a local stdio server. Once connected, the AI assistant can discover available tools (capabilities) and invoke them using the user's API key. The server acts as a middleware that translates the AI's tool calls into API requests to Devnors Data, returning structured data back to the assistant for interpretation.

Who it’s for

Developers and AI assistant users who need their LLMs to have real-time access to professional data domains, specifically those focusing on Chinese legal documents, enterprise registration details, keyword traffic indices, academic research, and express delivery tracking.

Highlights

  • Broad Data Coverage: Access to a wide range of tools for legal case search, company registration, tax records, and academic paper search.
  • Flexible Deployment: Supports both remote HTTP (no local installation required) and local stdio (via Python) configurations.
  • MCP Compatibility: Works with any MCP-compatible client such as Cursor, Claude Desktop, and WorkBuddy.
  • Self-Correcting Errors: Returns structured error codes (e.g., insufficient_balance, rate_limited) that allow the AI assistant to explain the issue and suggest corrections to the user.

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