Use Case
Edinet Mcp isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Analyze and compare Japanese public company financial statements (BS, PL, CF) from EDINET using company name or stock code with J-GAAP, IFRS, and US-GAAP data. This guide covers how to deploy Edinet Mcp for your team, standardize prompts, and create shared workflows that everyone can use.
Install Edinet Mcp in your project directory: .claude/skills/edinet-mcp/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Edinet Mcp in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Edinet Mcp
How can my team use Edinet Mcp together?
Set up Edinet Mcp for our project so everyone can use it
Create a shared workflow using Edinet Mcp for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install edinet-mcpOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install edinet-mcpβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/edinet-mcp/π‘Extract and place the folder at the path above, then restart your agent.