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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: Legal MCP

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.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

No tool schema history has been recorded yet.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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Looking for Admin?

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

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