
DB Query MCP Server
@NewToolAI
Basic information
About DB Query MCP Server
db-query-mcp is a mcp tool supporting diverse database querying and exporting.
DB Query 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.
RepositoryDB Query MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is db-query-mcp?
db-query-mcp is an MCP tool that supports diverse database querying and exporting. It is compatible with mainstream databases (ElasticSearch, MySQL, PostgreSQL, Oracle, SQLite, etc.) and features natural language to SQL conversion, read‑only security, and data export to CSV/JSON.
How to use db-query-mcp?
Install via pip install db-query-mcp (add [elasticsearch] for ElasticSearch). Configure your MCP client with JSON, providing "command": "db-query-mcp" and "args" that include --db (e.g., sqlite, elasticsearch) and --uri (connection string). For MySQL install pymysql; for PostgreSQL install psycopg2-binary.
Key features of db-query-mcp?
- Multi‑DB support: ElasticSearch, MySQL, PostgreSQL, Oracle, SQLite
More Databases MCP servers
MySQL MCP Server
designcomputerA Model Context Protocol (MCP) server that enables secure interaction with MySQL databases
Elasticsearch MCP Server
elasticPostgres Mcp
crystaldbaPostgres MCP Pro provides configurable read/write access and performance analysis for you and your AI agents.
Neon MCP Server
neondatabase-labsMCP server for interacting with Neon Management API and databases

nuzur
nuzur is a model-first database platform for MySQL and PostgreSQL. The MCP server lets any AI assistant or agent (Claude, Cursor, Gemini, or anything else that speaks MCP) design your schema, query your data, generate mi
Comments