legal-rag-toolkit

legal-rag-toolkit

Enables semantic search over Turkish legal contracts and emails via an MCP server integrated with Claude Desktop and Claude Code, providing tools for document ingestion, hybrid vector search, and full-text retrieval.

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README

Legal RAG Toolkit

Semantic search over Turkish legal contracts and emails, powered by an MCP server that plugs directly into Claude Desktop and Claude Code.

Instead of building a separate web UI, Claude is the interface — the toolkit provides the retrieval backend as MCP tools and Claude Code skills.

What it does

  • Ingest PDF, DOCX, and .eml files — parse, chunk, embed, and store in a local vector database
  • Search contracts and emails with hybrid dense+sparse retrieval (Turkish and English queries)
  • Retrieve full documents by filename for deep reading
  • Skills for Claude Code: /search-contract, /analyze-clause, /draft-response, /ingest-docs, /ingest-emails

Architecture

Claude Desktop / Claude Code
        |
        | MCP (stdio)
        |
[Legal RAG MCP Server] ── Python, FastMCP
  |
  |── search_contracts     hybrid vector search over contracts
  |── search_emails        hybrid vector search over emails
  |── get_document         retrieve all chunks for a file
  |── ingest_docs          parse + embed PDF/DOCX documents
  |── ingest_email         parse + embed .eml files
  |── list_sources         show indexed files and stats
  |
  |── LanceDB              embedded vector DB (file-based, zero-server)
  |── BAAI/bge-m3          multilingual embeddings (1024d, 8K context)
  |── PyMuPDF + pdfplumber PDF parsing
  |── python-docx          DOCX parsing
  |── imap_tools           email parsing

Setup

# Clone
git clone https://github.com/avocatt/legal-rag-toolkit.git
cd legal-rag-toolkit

# Create venv and install
python3.11 -m venv .venv
source .venv/bin/activate
pip install -e .

# Store HuggingFace token in macOS Keychain (for BGE-M3 model download)
security add-generic-password -a $USER -s HF_TOKEN -w "hf_your_token_here"

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "legal-rag-toolkit": {
      "command": "/path/to/legal-rag-toolkit/.venv/bin/python",
      "args": ["/path/to/legal-rag-toolkit/src/server/mcp_server.py"]
    }
  }
}

Restart Claude Desktop. The tools will appear under the hammer icon.

Claude Code

# Add as MCP server
claude mcp add legal-rag-toolkit -- /path/to/legal-rag-toolkit/.venv/bin/python /path/to/legal-rag-toolkit/src/server/mcp_server.py

Usage

Once connected, ask Claude naturally:

  • "Index the contracts in ~/Documents/contracts"
  • "Search for termination clauses in lease agreements"
  • "Kira sozlesmelerinde tahliye sartlarini ara"
  • "Show me all indexed documents"
  • "Pull up the full text of kira_sozlesmesi_048.pdf"

Stack

Component Choice Why
MCP Server Python + FastMCP Single language, mature SDK
Embeddings BAAI/bge-m3 8K context, hybrid retrieval, MIT, Turkish via XLM-RoBERTa
Vector DB LanceDB Embedded, file-based, hybrid search, zero infrastructure
PDF Parsing PyMuPDF + pdfplumber Fast, lightweight, good table extraction
DOCX Parsing python-docx Structural parsing with style detection
Email Parsing imap_tools Turkish charset support (ISO-8859-9)

Roadmap

  • [ ] KVKK (Turkish GDPR) PII masking before indexing
  • [ ] Structure-aware chunking using heading styles and font sizes
  • [ ] Cross-encoder reranking with BAAI/bge-reranker-v2-m3
  • [ ] Docling integration for OCR and complex PDF layouts
  • [ ] Local LLM support via OpenAI-compatible API

License

MIT

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