by i-dot-ai · MCP Server · ★ 55
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Lex UK legal API for AI agents and researchers. Access comprehensive UK legislation data with semantic search and Model Context Protocol integration. What is Lex? Lex provides programmatic access to 8.4M+ UK legal documents - legislation, amendments, and explanatory notes - with hybrid semantic search. This is an experimental service and should not be used as a production dependency. Dataset Coverage Legislation - 220K Acts and Statutory Instruments (1267-present, complete from 1963) Amendments - 892K legislative changes and modifications Explanatory Notes - 89K notes providing legislative context Case Law - 70K judgments and 4.7M paragraphs (temporarily disabled pending TNA licence) PDF Digitisation - Historical legislation (pre-1963) digitised using AI What Can You Build? Legal Research - Find relevant legislation in seconds Policy Analysis - Track legislative changes over time AI Grounding - Ground AI assistants in authoritative UK legal sources MCP Integration Connect AI assistants to Lex via Model Context Protocol. See the live documentation for setup instructions for: Claude Desktop Claude Code Cursor Microsoft Copilot Studio VS Code + GitHub Copilot Local Developmen
| Stars | 55 |
| Forks | 23 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 35.75/100 |
| Open Issues | 8 |
| Last Updated | 2026-06-04 |
| Created | 2025-06-05 |
| Platforms | mcp, python |
| Est. Tokens | ~193k |
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lex is UK legal API for AI agents and researchers.. It is categorized as a MCP Server with 55 GitHub stars.
lex is primarily written in Python. It covers topics such as agent, agentic, ai.
You can find installation instructions and usage details in the lex GitHub repository at github.com/i-dot-ai/lex. The project has 55 stars and 23 forks, indicating an active community.
lex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to lex on Agent Skills Hub include pdf-mcp, rust-docs-mcp-server, seline. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.