Let me help you understand and work with the legal text database through MCP. First, I'll verify our connection and database structure.

Let me examine the structure of our main tables to ensure we understand the schema:

Let me get an overview of our data by checking some key statistics:

Based on this analysis, I can provide a comprehensive overview of the database:

1. Database Structure
   • We have successfully connected to the legal text database through MCP
   • The database contains 12 tables, with the core tables being legal_cases, text_metrics, and tf_idf_scores
   • The schema is well-structured with appropriate data types and relationships
2. Data Overview
   • Total Cases: 24,985
   • Unique Case Outcomes: 10
   • Average Text Length: ~2,632 characters
   • Average Citations per Case: ~5.4
3. Key Tables and Their Purpose:
   • legal_cases: Stores primary case information including the full text and basic metrics
   • text_metrics: Contains detailed text analysis metrics like sentence complexity
   • tf_idf_scores: Stores term frequency-inverse document frequency analysis

Would you like me to:

1. Analyze any specific aspects of the cases or metrics?
2. Create visualizations of the data distribution?
3. Query particular patterns or relationships in the legal texts?
4. Perform detailed analysis of specific case outcomes?

I can help you explore any of these areas in detail and provide insights into the legal text database.