Legion-MCP
Legion-MCP is a server that facilitates database operations and integration for AI applications using the Legion Query Runner and MCP in Python. It supports multiple database types, allows query execution, schema retrieval, and metadata access, enabling efficient AI-driven data interactions.
Added on:
Created by:
Apr 06 2025
Legion-MCP is a server that facilitates database operations and integration for AI applications using the Legion Query Runner and MCP in Python. It supports multiple database types, allows query execution, schema retrieval, and metadata access, enabling efficient AI-driven data interactions.
Added on:
Created by:
Apr 06 2025
Luke X
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What is Legion-MCP?
Legion-MCP provides a comprehensive platform for accessing and querying databases through the Legion Query Runner and the Model Context Protocol (MCP). It supports various databases like PostgreSQL, MySQL, SQL Server, and more. Users can execute SQL queries, retrieve database schemas, and manage query history, all optimized for AI integration. The server can be deployed using Docker, UV, or pip, with flexible configuration options. Key features include resources for schema and metadata, tools for executing and explaining queries, and prompts for generating SQL commands. Designed for developers, AI practitioners, data analysts, and database administrators, it enables seamless integration of database functionalities into AI workflows for efficient data management and retrieval.
Who will use Legion-MCP?
- AI Developers
- Data Analysts
- Database Administrators
- AI Researchers
- Backend Developers
How to use the Legion-MCP?
- Step 1: Install Legion-MCP via pip, Docker, or UV
- Step 2: Configure the database connection parameters (DB_TYPE and DB_CONFIG)
- Step 3: Deploy the server in development or production mode
- Step 4: Use resources, tools, and prompts to interact with databases
- Step 5: Send queries or retrieve schemas via API calls or client tools
Legion-MCP's Core Features & Benefits
The Core Features
- schema://all - Get complete database schema
- execute_query - Run SQL queries and get results as markdown
- execute_query_json - Run SQL queries and get JSON results
- get_table_columns - List columns for a table
- get_table_types - List column types for a table
- get_query_history - Retrieve recent queries
The Benefits
- Supports multiple database types for versatile integration
- Enables AI-driven data querying and management
- Flexible deployment options for different environments
- Provides comprehensive resource and tool access for database operations
- Facilitates stateful and metadata-rich database interactions
Legion-MCP's Main Use Cases & Applications
- AI-powered data analytics platforms
- Automated database querying for AI assistants
- Data management in AI-driven applications
- Backend integration for AI data retrieval tools
FAQs of Legion-MCP
Developer
- TheRaLabs
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