Usense Chinese Company Data▌
by usensedata
Access Usense Chinese Company Data for in-depth corporate, financial, and relationship insights—ideal for market researc
Integrates with Usense's Chinese company data services to provide comprehensive business information including corporate details, financial data, and business relationships for market research, due diligence, and competitive analysis in the Chinese market.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Due diligence on Chinese business partners
- / Market research in Chinese markets
- / Competitive intelligence gathering
- / Legal compliance verification
capabilities
- / Query company basic information and registration details
- / Search companies by name or keywords
- / Verify legal representative names against company names
- / Look up investment portfolios and shareholding structures
- / Check trademark and software copyright registrations
- / Access court litigation and legal dispute records
what it does
Provides comprehensive business intelligence on Chinese companies including corporate details, financial data, legal records, and intellectual property information through Usense's data services.
about
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.
how to install
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.
license
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.
readme
简介
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。
工具列表
1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
环境
获取Usense UserID和Key
请联系羽山数据获取用户账号与密钥
安装node.js
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
安装依赖
npm install
typescript打包
npm run build
更新版本
先登录npm账号,须在package.json中更新版本号
npm login
npm publish --access public
配置mcp server config
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"
}
}
}
效果
实际用户请求:“帮我查一下羽山数据的对外投资情况”

说明
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.
Agent结果

MCP tools加载

FAQ
- What is the Usense Chinese Company Data MCP server?
- Usense Chinese Company Data is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Usense Chinese Company Data?
- This profile displays 63 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★63 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
Usense Chinese Company Data has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Layla Reddy· Dec 16, 2024
I recommend Usense Chinese Company Data for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Aditi Reddy· Dec 16, 2024
According to our notes, Usense Chinese Company Data benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Sophia Mensah· Nov 23, 2024
Useful MCP listing: Usense Chinese Company Data is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Nov 19, 2024
According to our notes, Usense Chinese Company Data benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Layla Mehta· Nov 7, 2024
Strong directory entry: Usense Chinese Company Data surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Aanya Rahman· Nov 7, 2024
Usense Chinese Company Data has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ira Gill· Oct 26, 2024
Usense Chinese Company Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Yuki Park· Oct 26, 2024
We evaluated Usense Chinese Company Data against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Sophia Kim· Oct 14, 2024
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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