MCP Server
The Model Context Protocol (MCP) is an open standard that lets AI applications consult external knowledge. The IURA MCP server connects Claude, ChatGPT, Copilot, and agent frameworks to statutes, case law, and tax interpretations — with citations to the source text.
LLM + IURA MCP
IURA MCP Server delivers precise legal knowledge directly to your AI model's context
"What are the conditions of liability under Art. 415 CC?"
"Whoever by his fault caused damage to another..."
"The conditions of tort liability are..."
"Fault as an element of liability..."
"Causal link between action..."
Precise analysis with references
The model receives current regulations, case law and other documents directly from the IURA MCP server — every answer contains references to specific sources.
Source data, prepared for AI
This is not a generic RAG pipeline. Each source is integrated individually by AI engineers who understand how language models work and what they need to answer reliably.
State-of-the-art models
Latest embedding models for highest accuracy of results.
AI Expertise
Each source integrated by AI engineers.
Ready solution
You ask — we deliver data.
"Garbage in, garbage out — that's why we take data quality so seriously. It's the foundation of every good AI answer."
Three steps, no new habits.
Claude Desktop automatically searches the IURA database and finds all the information you need
You ask a question
In natural language, just like a normal conversation
IURA searches the database
Automatic search for regulations, rulings and interpretations
You receive an answer
Precise analysis with references to legal sources
See integration instructions:
Developer documentationOne server, unlimited possibilities
Connect IURA MCP to any chat or framework that supports Model Context Protocol
Claude
ChatGPT
Perplexity
Cursor
Copilot
Gemini CLI
LibreChat
Glama
ChatWise
LangChain
LlamaIndex
LangGraph
CrewAI
PydanticAI
Haystack
Semantic Kernel
GenKit
n8n
LangFlow
AI Studio...and any other tool supporting Model Context Protocol
Developer documentation
