by usensedata
Access Usense Chinese Company Data for in-depth corporate, financial, and relationship insights—ideal for market researc
Provides comprehensive business intelligence on Chinese companies including corporate details, financial data, legal records, and intellectual property information through Usense's data services.
Usense Chinese Company Data is a community-built MCP server published by usensedata that provides AI assistants with tools and capabilities via the Model Context Protocol. Access Usense Chinese Company Data for in-depth corporate, financial, and relationship insights—ideal for market researc It is categorized under analytics data.
You can install Usense Chinese Company Data in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Usense Chinese Company Data is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Usense Chinese Company Data has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend Usense Chinese Company Data for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Usense Chinese Company Data benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Usense Chinese Company Data is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Usense Chinese Company Data benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Usense Chinese Company Data surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Usense Chinese Company Data has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Usense Chinese Company Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Usense Chinese Company Data against two servers with overlapping tools; this profile had the clearer scope statement.
Usense Chinese Company Data is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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羽山数据API服务现已全面兼容MCP协议,打造数据服务MCP Server。usensedata-mcp-server-query-china-company项目为企业类数据查询服务server,用户可通过简单配置快速通过LLM使用羽山数据企业类数据服务。依赖MCP Typescript SDK,可在支持MCP协议的智能体助手中快速接入。
verify_company_name_and_president简介:验证法人姓名与企业名称是否一致。返回 0 表示一致,返回 1 表示不一致。
入参:
operName:代表人姓名entName:公司全名fuzzy_query_company简介:通过企业名称关键词模糊查询公司信息。
入参:
keyWord:公司名称关键词query_company_basic_info简介:根据公司全名查询企业基本信息(如法人、注册资本、统一社会信用代码等)。
入参:
entname:公司全名query_company_overseas_investments简介:查询企业的对外投资信息,如投资金额、持股比例、股东类型等。
入参:
entName:公司全名query_company_change_records简介:根据公司全名查询企业变更记录内容。
入参:
entName:公司全名query_company_software_copyright_info简介:根据公司全名查询其软件著作权登记信息。
入参:
entName:公司全名query_company_trademark_list简介:查询企业商标列表信息,包括商标名称、企业名称和状态。
入参:
entName:公司全名query_company_court_litigation_related_info简介:查询公司法院相关的诉讼信息。
入参:
name:公司全名query_company_abnormal_business_operation简介:根据公司全名查询企业的经营异常信息。
入参:
keyWord:公司全名请联系羽山数据获取用户账号与密钥
当在终端中能成功获取版本号即安装成功,mac须用brew安装
node -v
npm -v
npm install
npm run build
先登录npm账号,须在package.json中更新版本号
npm login
npm publish --access public
macos/linux
"mcpServers": {
"usense-corp": {
"command": "npx",
"args": [
"-y",
"usensedata-mcp-server-query-china-company"
],
"env": {
"USENSEDATA_API_KEY": "your_api_key",
"USENSEDATA_API_USERID": "your_api_userid"
}
}
}
windows
"mcpServers": {
"usense-corp": {
"command": "cmd",
"args": [
"/c",
"npx",
"-y",
"usensedata-mcp-server-query-china-company"
],
"env": {
"USENSEDATA_API_KEY": "your_api_key",
"USENSEDATA_API_USERID": "your_api_userid"
}
}
}
实际用户请求:“帮我查一下羽山数据的对外投资情况”

1.获取实际请求中的需要查询的企业名称 “羽山数据”
2.调用企业模糊查询 [fuzzy_query_of_enterprises] 获取到跟 “羽山数据” 相关的企业列表信息,并从中取得到公司全名.
3.然后调用公司对外投资查询 [query_company_overseas_investments] 获取公司对应的投资信息.
4.再调用企业基本信息查询 [query_basic_enterprise_information] 获取公司的基本信息内容.
5.最后整理以上所以信息,进行输出返回最终展示结果信息.


Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.