search-web

e-Gov (Japanese Legal Database)

groundcobra009

by groundcobra009

Access and search Japanese laws with e-Gov (Japanese Legal Database) for legal research, compliance, and regulatory anal

Integrates with Japan's official e-Gov legal database to provide search and retrieval of Japanese laws and regulations for legal research, compliance checking, and regulatory analysis.

github stars

16

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Official government databaseFull Japanese legal text accessRevision tracking

best for

  • / Legal professionals researching Japanese law
  • / Compliance teams checking regulations
  • / Businesses operating in Japan

capabilities

  • / Search Japanese laws by name or law number
  • / Retrieve detailed legal document content
  • / Get revision history for specific laws
  • / Filter by law category (laws, ordinances, ministerial ordinances)

what it does

Connects to Japan's official e-Gov database to search and retrieve Japanese laws, regulations, and legal documents with full text access and revision history.

about

e-Gov (Japanese Legal Database) is a community-built MCP server published by groundcobra009 that provides AI assistants with tools and capabilities via the Model Context Protocol. Access and search Japanese laws with e-Gov (Japanese Legal Database) for legal research, compliance, and regulatory anal It is categorized under search web. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install e-Gov (Japanese Legal Database) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

e-Gov (Japanese Legal Database) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Access and search Japanese laws with e-Gov (Japanese Legal Database) for legal research, compliance, and regulatory anal

TL;DR: Connects to Japan's official e-Gov database to search and retrieve Japanese laws, regulations, and legal documents with full text access and revision history.

What it does

  • Search Japanese laws by name or law number
  • Retrieve detailed legal document content
  • Get revision history for specific laws
  • Filter by law category (laws, ordinances, ministerial ordinances)

Best for

  • Legal professionals researching Japanese law
  • Compliance teams checking regulations
  • Businesses operating in Japan

Highlights

  • Official government database
  • Full Japanese legal text access
  • Revision tracking

FAQ

What is the e-Gov (Japanese Legal Database) MCP server?
e-Gov (Japanese Legal Database) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for e-Gov (Japanese Legal Database)?
This profile displays 42 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.742 reviews
  • Yash Thakker· Dec 28, 2024

    Strong directory entry: e-Gov (Japanese Legal Database) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Fatima Patel· Dec 24, 2024

    e-Gov (Japanese Legal Database) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Amelia Sanchez· Dec 20, 2024

    According to our notes, e-Gov (Japanese Legal Database) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Fatima Rao· Dec 20, 2024

    Useful MCP listing: e-Gov (Japanese Legal Database) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Shikha Mishra· Nov 27, 2024

    Useful MCP listing: e-Gov (Japanese Legal Database) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Dhruvi Jain· Nov 19, 2024

    e-Gov (Japanese Legal Database) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Valentina Tandon· Nov 15, 2024

    e-Gov (Japanese Legal Database) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Advait Abebe· Nov 11, 2024

    We wired e-Gov (Japanese Legal Database) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Rahul Santra· Oct 18, 2024

    e-Gov (Japanese Legal Database) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Oshnikdeep· Oct 10, 2024

    We evaluated e-Gov (Japanese Legal Database) against two servers with overlapping tools; this profile had the clearer scope statement.

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