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alifindrar

Legal Document RAG MCP Server

by alifindrar

Legal Document RAG — MCP Server

Fully local, offline RAG system for legal documents (Indonesian + English).
Built on MCP SDK, ChromaDB, SQLite FTS5, and multilingual-e5-large.


Requirements

  • Python ≥ 3.11

  • Tesseract OCR with Indonesian language pack:

    # Ubuntu / Debian
    sudo apt install tesseract-ocr tesseract-ocr-ind
    
    # macOS
    brew install tesseract
    brew install tesseract-lang  # includes ind

Related MCP server: Philippine Law MCP Server

Setup

# 1. Clone / copy the project
cd legal_rag_mcp

# 2. Create virtual environment
python -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate

# 3. Install dependencies
pip install -r requirements.txt

# 4. (First run) The multilingual-e5-large model (~2.2 GB) will be
#    downloaded automatically to ~/.cache/huggingface/hub
#    All subsequent runs are fully offline.

Usage

Drop documents in the watch folder

legal_rag_mcp/raw_legal_docs/
├── kontrak_jual_beli.pdf
├── perjanjian_kerjasama.docx
├── schedule_of_fees.xlsx
└── scanned_addendum.png

Launch the MCP server

# Development mode (with MCP Inspector UI)
mcp dev mcp_server/server.py

# Production mode (stdio, for Claude Desktop or any MCP client)
python mcp_server/server.py

Claude Desktop configuration (claude_desktop_config.json)

{
  "mcpServers": {
    "legal-rag": {
      "command": "python",
      "args": ["/absolute/path/to/legal_rag_mcp/mcp_server/server.py"]
    }
  }
}

Tools Exposed

Tool

Purpose

search_clauses

Hybrid semantic + keyword search

find_conflicts

Cross-document conflict detection (two-zone thresholds)

get_document_overview

Document metadata + clause outline

retrieve_context

Read a clause in full surrounding context

list_documents

Inventory of all ingested files


Conflict Detection Thresholds

Zone

Cosine Similarity

Interpretation

Near-duplicate

> 0.88

Same clause — skip

HIGH suspicion

0.75 – 0.88

Same topic, different obligations

MODERATE suspicion

0.60 – 0.75

Related topic, may diverge

Unrelated

< 0.60

Different provisions

Thresholds are configurable in config.py.


Re-ingestion (Diff-Based)

When a file in raw_legal_docs/ is modified:

  1. File-level SHA-256 hash is compared against the stored hash.

  2. If unchanged → skip entirely.

  3. If changed → re-chunk the document, compute per-chunk hashes.

  4. Only changed or new chunks are re-embedded and upserted.

  5. Orphaned chunks (present in old version, absent in new) are deleted.

  6. Full re-embedding is never triggered by a partial change.

F
license - not found
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

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If you are the server author, to access and configure the admin panel.

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