CrateDB MCP Server

@crate

Basic information

About CrateDB MCP Server

CrateDB MCP Server for natural-language Text-to-SQL and documentation retrieval.

#nlp #sql #mcp #natural-language #sql-query#cratedb#knowledge-base#natural-language-queries#natural-language-understanding#text-to-sql#human-computer-interface#documentation-as-code#ai-sql-assistant#model-context-protocol #mcp-server #mcp-tools#mcp-database-server#mcp-database#model-context-protocol-server#mcp-sql

CrateDB MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

CrateDB MCP Server tools

Tool list not available yet

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Overview

What is CrateDB MCP Server?

The CrateDB MCP Server is a Model Context Protocol (MCP) server that enables natural-language Text‑to‑SQL and documentation retrieval specifically for CrateDB database clusters. It acts as a bridge between AI assistants and CrateDB, letting users analyze data, inspect cluster state, troubleshoot issues, and perform operations through conversational prompts.

How to use CrateDB MCP Server?

For installation and configuration details, refer to the project documentation at https://cratedb-mcp.readthedocs.io/. No specific commands or config keys are described in this README.

Key features of CrateDB MCP Server

Connects AI assistants directly to CrateDB clusters.
Supports natural language Text‑to‑SQL queries.
Retrieves documentation from the CrateDB knowledge base.
Enables troubleshooting and operations via conversational prompts.

Use cases of CrateDB MCP Server

Querying CrateDB data using plain English instead of SQL.
Inspecting cluster state and performance through natural language.
Troubleshooting database issues with conversational instructions.
Performing operational tasks on CrateDB without writing code.

Frequently asked questions

What does the CrateDB MCP Server do?

It serves as a bridge between AI tools and your CrateDB analytics database, allowing you to analyze data, cluster state, troubleshoot issues, and perform operations using natural language prompts.

What protocol does it use?

It uses the Model Context Protocol (MCP), which standardizes providing context to language models and AI assistants.

What is the current status of the server?

The software is in beta stage, so breaking changes may occur. Version pinning is strongly recommended.

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