edinet-mcp

edinet-mcp

EDINET XBRL parsing library and MCP server for Japanese financial data.

What is this?

edinet-mcp provides programmatic access to Japan's EDINET financial disclosure system. It parses XBRL filings into structured DataFrames and exposes them as an MCP server for AI assistants.

• Search 5,000+ listed Japanese companies
• Retrieve annual/quarterly financial reports (有価証券報告書, 四半期報告書)
• Parse XBRL into Polars/pandas DataFrames (BS, PL, CF)
• MCP server for Claude Desktop and other AI tools
• J-GAAP / IFRS / US-GAAP detection

Quick Start

Installation

pip install edinet-mcp
# or
uv add edinet-mcp

Get an API Key

Register (free) at EDINET and set:

export EDINET_API_KEY=your_key_here

30-Second Example

from edinet_mcp import EdinetClient

client = EdinetClient()

# Search for Toyota
companies = client.search_companies("トヨタ")
print(companies[0].name, companies[0].edinet_code)
# トヨタ自動車株式会社 E02144

# Get financial statements as a Polars DataFrame
stmt = client.get_financial_statements("E02144", period="2024")
print(stmt.income_statement.to_polars())

MCP Server (for Claude Desktop)

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "edinet": {
      "command": "uvx",
      "args": ["edinet-mcp", "serve"],
      "env": {
        "EDINET_API_KEY": "your_key_here"
      }
    }
  }
}

Then ask Claude: "トヨタの最新の営業利益を教えて"

Available MCP Tools

CLI

# Search companies
edinet-mcp search トヨタ

# Fetch income statement
edinet-mcp statements -c E02144 -p 2024

# Start MCP server
edinet-mcp serve

API Reference

EdinetClient

client = EdinetClient(
    api_key="...",        # or EDINET_API_KEY env var
    cache_dir="~/.cache/edinet-mcp",
    rate_limit=0.5,       # requests per second
)

# Search
companies: list[Company] = client.search_companies("query")
company: Company = client.get_company("E02144")

# Filings
filings: list[Filing] = client.get_filings(
    start_date="2024-01-01",
    edinet_code="E02144",
    doc_type="annual_report",
)

# Financial statements
stmt: FinancialStatement = client.get_financial_statements(
    edinet_code="E02144",
    period="2024",
)
df = stmt.income_statement.to_polars()  # Polars DataFrame
df = stmt.income_statement.to_pandas()  # pandas DataFrame (optional dep)

StatementData

Each financial statement (BS, PL, CF) is a StatementData object:

stmt.balance_sheet.to_polars()    # → polars.DataFrame
stmt.balance_sheet.to_pandas()    # → pandas.DataFrame (requires pandas)
stmt.balance_sheet.to_dicts()     # → list[dict]
len(stmt.balance_sheet)           # number of line items

Development

git clone https://github.com/ajtgjmdjp/edinet-mcp
cd edinet-mcp
uv sync --dev
uv run pytest -v
uv run ruff check .
uv run mypy src/

Data Attribution

This project uses data from EDINET(Electronic Disclosure for Investors' NETwork), operated by theFinancial Services Agency of Japan (金融庁).EDINET data is provided under the Public Data License 1.0.

Related Projects

• edinet2dataset — Sakana AI's EDINET XBRL→JSON tool
• EDINET-Bench — Financial classification benchmark
• jfinqa — Japanese financial QA benchmark (companion project)

License

Apache-2.0. See NOTICE for third-party attributions.