Provides natural-language Text-to-SQL capabilities and documentation retrieval for CrateDB clusters, allowing users to analyze data, check cluster state, and perform database operations through conversational prompts.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@CrateDB MCP Server Show me the top 10 most recent entries in the sensor_data table."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
» Documentation | Issues | Source code | License | CrateDB | CrateDB Handbook | Community Forum
The CrateDB MCP Server for natural-language Text-to-SQL and documentation retrieval specializes in CrateDB database clusters. The Model Context Protocol (MCP) is a protocol that standardizes providing context to language models and AI assistants.
The CrateDB Model Context Protocol (MCP) Server connects AI assistants directly to your CrateDB clusters and the CrateDB knowledge base, enabling seamless interaction through natural language.
It serves as a bridge between AI tools and your analytics database, allowing you to analyze data, the cluster state, troubleshoot issues, and perform operations using conversational prompts.
Related MCP server: Severalnines CCX MCP Server
The project documentation is available at https://cratedb-mcp.readthedocs.io/. It includes information on how to install and operate the package.
Kudos to the authors of all the many software components and technologies this project is building upon.
The cratedb-mcp package is an open-source project, and is managed on
GitHub. Contributions of any kind are welcome and appreciated.
To learn how to set up a development sandbox, please refer to the
development documentation.
The software is in the beta stage, so breaking changes may happen. Version pinning is strongly recommended, especially if you use it as a library.
This server cannot be deployed
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