Query raw data files and MCP-generated results using natural language or SQL.
DataHarpoon is a query engine that allows users to access and analyze data, regardless of its location, through either natural language queries via MCP or direct SQL commands. It seamlessly integrates with MCP, enabling users to perform tasks such as querying data from CSV and JSON files, as well as interacting with external services like GitHub using MCP servers. DataHarpoon provides a versatile approach to data exploration and analysis, catering to both users who prefer natural language interfaces and those who require the precision of SQL.
Key Features
01Natural language querying via MCP
02Direct SQL querying via CLI
03Connects to raw data files
04Integrates with MCP servers
05Supports querying data from CSV and JSON files
061 GitHub stars
Use Cases
01Querying user data from CSV files to analyze member counts in organizations.
02Retrieving the current time from a time MCP server.
03Interacting with GitHub's MCP server to list issues and extract relevant data.
