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.
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
.emlfiles — 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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