Alkemi
Enables MCP Clients to query databases and API endpoints using natural language by abstracting data products and generating proper queries.
About
The Alkemi MCP Server integrates Alkemi's powerful data querying capabilities into MCP Clients, solving the challenge of querying databases without intricate knowledge of schemas or API structures. It leverages Alkemi to store database metadata, generate accurate queries, and execute them across sources like Snowflake, Google BigQuery, and DataBricks. This allows teams to share a standardized, quality-assured method for querying data using plain English, ensuring consistent and reliable access for all users.
Key Features
- Natural language querying for integrated databases and API endpoints
- Automatic query generation based on stored database metadata
- Integration with major data sources like Snowflake, Google BigQuery, and DataBricks
- Supports multi-server configurations and product-specific data access
- Shareable across teams for consistent and quality-assured data access
- 1 GitHub stars
Use Cases
- Integrating Alkemi's data querying services into MCP Client applications like Claude Desktop
- Allowing non-technical users to access and analyze data from complex databases using plain English
- Standardizing and sharing secure, intelligent database access across development and analytics teams
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