mysql_mcp_server

4.5

mysql_mcp_server is hosted online, so all tools can be tested directly either in theTools tabor in theOnline Client.

If you are the rightful owner of mysql_mcp_server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcpreview.com.

MySQL MCP Server is a Model Context Protocol implementation that facilitates secure interaction between AI applications and MySQL databases.

🏠📄

Comments

No comments yet. Be the first to comment!

Related MCP Servers

View all databases servers →

prisma

4.7

by prisma

Prisma is a next-generation ORM for Node.js and TypeScript, providing tools for data modeling, migrations, and querying databases.

databases

dbhub

4.7

by bytebase

DBHub is a universal database gateway implementing the Model Context Protocol (MCP) server interface.

databases

gateway

4.6

by centralmind

CentralMind Gateway is a tool designed to expose databases to AI agents via MCP or OpenAPI protocols, providing secure, LLM-optimized APIs.

databases

supabase-mcp

4.2

by supabase-community

Connect your Supabase projects to AI assistants using the Model Context Protocol (MCP) server.

databases

mindsdb

4.2

by mindsdb

MindsDB is an open-source server that enables seamless interaction with large-scale federated data using the Model Context Protocol (MCP).

databases

azure-mcp

4.2

by Azure

The Azure MCP Server implements the MCP specification to create a seamless connection between AI agents and Azure services.

cloud_platforms

postgres-mcp

4.2

by crystaldba

Postgres MCP Pro is an open-source Model Context Protocol server designed to enhance database performance and management through advanced tools and features.

databases

genai-toolbox

4.2

by googleapis

MCP Toolbox for Databases is an open source MCP server for databases, designed to simplify and secure the development of database tools.

databases

mcp-notion-server

4.2

by suekou

MCP Server for the Notion API, enabling LLM to interact with Notion workspaces. Additionally, it employs Markdown conversion to reduce context size when communicating with LLMs, optimizing token usage and making interactions more efficient.

databases