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Pasal Id MCP Server

by Aturio
Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Task-oriented MCP for Indonesian law: search, resolve citations, read laws, and MK decisions.

About

Task-oriented MCP for Indonesian law: search, resolve citations, read laws, and MK decisions.

Remote endpoints: streamable-http: https://mcp.pasal.id/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

Endpoint verified · Requires authentication · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-aturio-pasal-id-mcp": {
      "url": "https://mcp.pasal.id/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Pasal.id — Indonesian Law MCP Server

The first open, AI-native Indonesian legal database. Gives Claude and any MCP-compatible AI assistant grounded, citation-ready access to 100,000+ Indonesian regulations — UU, PP, Perpres, PERMEN, PERDA, and 20+ other regulation types — directly from authoritative sources (peraturan.go.id, BPK JDIH, JDIH MK, JDIHN).

  • Live server: https://mcp.pasal.id/mcp
  • Transport: Streamable HTTP
  • Auth: OAuth 2.0 — free account at pasal.id
  • Setup in 30 seconds: pasal.id/hubungkan
  • License: AGPL-3.0

Why this exists

Indonesian law is scattered across dozens of government portals, each with its own PDF quirks and status ambiguities. Most LLM answers about Indonesian regulations are hallucinated — the training data is thin, and the live web isn't indexed for precise legal retrieval.

Pasal.id consolidates 100,000+ regulations into structured data (pasal-level granularity, whole-law hierarchy, preamble sections, amendment history, and legal-status provenance) and exposes it to AI assistants via MCP. Every answer an LLM gives using this server can be grounded in a specific article, regulation part, and authoritative source.

Connect

Pick your client. All use the same server URL: https://mcp.pasal.id/mcp.

Claude Code — one command

claude mcp add --transport http pasal-id https://mcp.pasal.id/mcp

Claude Code will open a browser window for OAuth on first use. For CI/automation, use a personal access token from pasal.id/akun:

claude mcp add --transport http pasal-id https://mcp.pasal.id/mcp \
  --header "Authorization: Bearer ${PASAL_MCP_TOKEN}"

Claude Desktop / Cursor / Windsurf / VS Code

All consume the same JSON. Paste into the relevant config file:

{
  "mcpServers": {
    "pasal-id": {
      "type": "http",
      "url": "https://mcp.pasal.id/mcp",
      "headers": {
        "Authorization": "Bearer ${PASAL_MCP_TOKEN}"
      }
    }
  }
}
ClientConfig file
Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.json (macOS) · %APPDATA%\Claude\claude_desktop_config.json (Windows)
Cursor~/.cursor/mcp.json or .cursor/mcp.json (workspace)
Windsurf~/.codeium/windsurf/mcp_config.json
VS Code MCP.vscode/mcp.json (workspace)
Claude Code.mcp.json (project root)

Full per-client walkthrough: docs/clients.md.

ChatGPT Desktop (April 2026+)

Settings → Developer Tools → Add MCP Server → paste https://mcp.pasal.id/mcp.

Tools

The server exposes six task-oriented tools to AI assistants (v2.0.0 — the earlier eleven-tool surface keeps working for existing integrations but is deprecated and scheduled for removal after August 2026):

ToolPurpose
search_legalFind regulations when you do not yet know which law applies — topics, keywords, or messy citations, with validated granular filters (multiple types, year, status, issuing body, region) and diagnostics that explain zero results.
resolve_lawTurn any reference — "KUHP", "UU 13/2003", "Pergub DKI 220 tahun 2010", a pasted title — into a canonical law_id, or get disambiguation candidates instead of a guess.
get_law_contextCompact orientation on one law: summary (status, structure counts, top-level outline), a pasal-range-compressed outline, or typed relationship groups (amendments, court reviews) — token-budgeted.
read_lawRead text with forgiving selectors: pasal 27, pasal 27-30, bab III, menimbang, penjelasan pasal 5, lampiran, all — with cursors, char budgets, and explicit missing reporting.
search_court_decisionsSearch Constitutional Court (Mahkamah Konstitusi) decisions by reviewed law, lane (PUU/SKLN/PHPU/PHPKADA), ruling, year, dissent, or judge.
report_issueReport data problems; the search_failure type ("I searched X and expected law Y") feeds the search regression suite directly.

Every v2 response carries a request_id and structured diagnostics; errors are typed (error_code + recovery guidance + valid_values) so assistants can self-correct instead of retrying blindly. The canonical workflow: resolve_law when you know the law → get_law_context to orient → read_law for text; search_legal when you don't.

Schemas + example calls: docs/tools.md.

Example prompts

Once connected, ask your AI assistant questions like:

  • "Explain Pasal 81 of the UU Cipta Kerja on employment."
  • "Is the 1974 Marriage Law still in force?"
  • "What are contract workers' rights under Indonesian law?"
  • "Compare worker rights before and after the Job Creation Law."
  • "What is the minimum marriage age in Indonesia?"
  • "Tampilkan struktur UU ITE dan ambil bagian Menimbang serta Pasal 27."
  • "Cari dalam UU PDP bagian tentang pengendali data, lalu cek status peraturannya."
  • "Saya menemukan OCR yang salah di Pasal ini; laporkan koreksinya ke Pasal.id."

The assistant should search first, retrieve only the needed Pasal or regulation part, verify status/provenance when the answer depends on currency, and use report_issue when the parsed corpus has a real data problem.

About the data

  • Primary source: peraturan.go.id (Ministry of State Secretariat).
  • Secondary sources: BPK JDIH (69 regulation types), JDIH MK (Constitutional Court), JDIHN (regional regulations).
  • Verification: Gemini 3 Flash cross-checks every parsed document against the source PDF. Unverified regulations are flagged.
  • Updates: New regulations ingested within 24–48 hours of publication.
  • Gaps: See pasal.id/metodologi for known limitations.

Contributing

Pasal.id itself lives in a private repository — but this repo is public and we welcome:

  • Corrections to the public MCP surface (README, install snippets, docs).
  • Bug reports against the live server via GitHub Issues or pasal.id/masukan.
  • Feature requests — especially new MCP tools or improvements to existing ones.

PRs to the source regulations database happen through the crowd-correction workflow at pasal.id: any user can highlight a passage and suggest a fix; our team reviews and merges within days.

Related projects

  • pasal.id — web reader with full search, law detail pages, and crowd corrections.
  • pasal.id/api — REST API (same data, same authentication, for non-MCP integrations).

License

AGPL-3.0 — see LICENSE.

The MCP server code and the regulation data are both open. Attribution is appreciated; commercial derivatives must remain open-source under the same license.


Built by Aturio · Maintained by Ilham Firdausi Putra.

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