japan-corporate-mcp is an MCP (Model Context Protocol) server that allows AI assistants to directly call official Japanese government APIs to obtain data related to Japanese companies. Its data sources include gBizINFO, EDINET, and e-Stat.
Purpose The core purpose of this tool is to enable AI assistants to search Japanese company information, financial data, patents, subsidies, government procurement, and government statistics, so that they can directly answer questions related to Japanese companies in conversation.
Main capabilities According to the official materials, it can support querying basic company information, financial data, patent information, subsidy information, government procurement information, and government statistics. The usage examples given in the materials include: querying corporate information for Sony Group, searching for Toyota Motor's licensing information, finding AI-related companies in Tokyo, retrieving statistics related to Japanese manufacturing, and searching SoftBank's recent EDINET reports.
How to use After installation, you need to obtain API keys from the relevant Japanese government services and add the configuration to claude_desktop_config.json or .cursor/mcp.json as described in the materials. Regarding environment variables, the materials explicitly state that at least GBIZINFO_API_TOKEN is required to use the company search and information tools. After configuration is complete, you can issue queries in natural language through the AI assistant.
Applicable scenarios Suitable for users who need scenarios such as Japanese company information retrieval, corporate financial report queries, patent searches, and government statistical data analysis, especially AI workflows that use Claude Desktop or Cursor and connect to external data sources through MCP.
Limitations The materials show that this tool relies on official government APIs, so you need to apply for the corresponding API keys yourself; some features require specific environment variables (such as GBIZINFO_API_TOKEN). Apart from this, information regarding fees, pricing, platform support scope, and data processing restrictions is not currently provided.
