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.
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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.
Category
πFinance & InvestmentPlatforms
What Edinet Mcp can do for your AI workflow
Compare japanese public directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Edinet Mcp
Help me get started with Edinet Mcp
Explains what Edinet Mcp does, walks through the setup, and runs a quick demo based on your current project
Use Edinet Mcp to analyze and compare Japanese public company financial statements (B...
Invokes Edinet Mcp with the right parameters and returns the result directly in the conversation
What can I do with Edinet Mcp in my finance & investment workflow?
Lists the top use cases for Edinet Mcp, with example commands for each scenario
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Edinet Mcp extends your AI assistant with the ability to 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. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Edinet Mcp as its underlying capability.
Edinet Mcp works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Edinet Mcp once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Edinet Mcp takes about two minutes. Place the skill at `~/.claude/skills/edinet-mcp/` (personal, all projects) or `.claude/skills/edinet-mcp/` (project-specific), then restart your AI client. From that point, typing `/edinet-mcp` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Edinet Mcp has 887 installs and is part of the growing Finance & Investment skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/edinet-mcp/ for personal use (all projects), or .claude/skills/edinet-mcp/ for project-specific use. Restart your AI client, then invoke with /edinet-mcp or let the AI discover it automatically.
Edinet Mcp supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Edinet Mcp is free to install. Check the repository for licensing information.
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.
Links
Automate my finance & investment tasks using Edinet Mcp
Identifies repetitive steps in your workflow and sets up Edinet Mcp to handle them automatically
Edinet Mcp is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.