Connects AI assistants to enterprise registry, tax, and legal data APIs.
Bridge AI assistants to legal, tax, and enterprise registry APIs via Model Context Protocol.
Devnors Data MCP integrates enterprise, tax, and legal data APIs directly into AI clients like Claude Desktop and Cursor. It is built for accountants, tax professionals, and legal researchers who want AI agents to query official registries and documents.
The tool acts as a Model Context Protocol server, enabling AI assistants to discover available capabilities, parse required parameters, and query tools like company registration details, tax credit levels, major tax illegal lists, and legal case searches.
It suits tax professionals, corporate accountants, and legal researchers who regularly query Chinese enterprise registries and tax compliance databases. It does not suit teams looking for a standalone local database or those without a Devnors Data API subscription.
Query company registration details, annual reports, shareholders, and branch organizations.
Inspect taxpayer basic info, tax credit levels, and major tax illegal records.
Search Chinese legal judgment documents and current law articles directly from your AI assistant.
Process invoice OCR alongside express tracking and web search tools.
The software code is free under the MIT license, but queries require a paid Devnors Data API Key with active balance.
880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
You need an MCP-compatible client like Claude Desktop or Cursor and a valid Devnors Data API Key.
Yes, you can install the Python package locally and configure it via stdio with your DEVNORS_API_KEY.
The API returns an insufficient_balance error code, requiring a top-up in the developer console.
See Zekai first in Google