[该MCP服务提供制造业企业的生产能力分析,包括产能评估、生产设备、制造工艺、工厂分布等信息,帮助用户了解企业的制造实力。](https://www.handaas.com/)
该MCP服务提供制造业企业的生产能力分析,包括产能评估、生产设备、制造工艺、工厂分布等信息,帮助用户了解企业的制造实力。.
该MCP服务提供制造业企业的生产能力分析,包括产能评估、生产设备、制造工艺、工厂分布等信息,帮助用户了解企业的制造实力。
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| total | 总数 |
| resultList | 结果列表,包含企业基本信息 |
| nameId | 企业ID |
| name | 企业名称 |
| foundTime | 成立时间 |
| factoryScale | 工厂规模 |
| factoryTypeList | 工厂类型 |
| monthlyProductionAmountValue | 月产值 |
| accountPeriodRisk | 账期风险 |
| factoryAddress | 工厂地址 |
| province | 省份 |
| city | 城市 |
| district | 地区 |
| value | 地址 |
{
"mcpServers": {
"factory-insight-mcp-server": {
"command": "uv",
"args": [
"run",
"mcp",
"run",
"{workdir}/server/mcp_server.py"
],
"env": {
"PATH": "{workdir}/mcp_env/bin:$PATH",
"PYTHONPATH": "{workdir}/mcp_env",
"INTEGRATOR_ID": "your_integrator_id",
"SECRET_ID": "YOUR_SECRET_ID",
"SECRET_KEY": "YOUR_SECRET_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| PATH | Declared in the maintainer’s client configuration. | Check documentation |
| PYTHONPATH | Declared in the maintainer’s client configuration. | Check documentation |
| INTEGRATOR_ID | Declared in the maintainer’s client configuration. | Check documentation |
| SECRET_ID | Declared in the maintainer’s client configuration. | Check documentation |
| SECRET_KEY | Declared in the maintainer’s client configuration. | Check documentation |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
A Model Context Protocol (MCP) server for querying the Materials Project database using the mp_api client.
Local SwiftUI changed/staged checks with compact agent output and multi-module ownership.
A Model Context Protocol (MCP) server implementation for Dgraph graph database, built using the [mcp-go](https://github.com/mark3labs/mcp-go) library.
Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g.…