Pasal.id — Indonesian Law

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}"
      }
    }
  }
}

Client	Config 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):

Tool	Purpose
search_legal	Find 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_law	Turn 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_context	Compact 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_law	Read 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_decisions	Search Constitutional Court (Mahkamah Konstitusi) decisions by reviewed law, lane (PUU/SKLN/PHPU/PHPKADA), ruling, year, dissent, or judge.
report_issue	Report 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.

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