MySQL MCP Server
Provides MySQL database connectivity with tools for querying table schemas and structures in MySQL databases.
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., "@MySQL MCP Servershow me the schema for the users 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.
MySQL MCP Server
A Model Context Protocol (MCP) server that provides MySQL database connectivity and tools.
Installation
npm install
npm run buildRelated MCP server: MySQL Managing MCP
Usage
Configuration
The server can be configured using either environment variables or command-line arguments. Environment variables take precedence over command-line arguments.
Environment Variables
MYSQL_HOST: MySQL host (default: localhost)MYSQL_PORT: MySQL port (default: 3306)MYSQL_USER: MySQL user (default: root)MYSQL_PASSWORD: MySQL password (default: empty)MYSQL_DATABASE: MySQL database (default: test)
Command-Line Arguments
-h, --host: MySQL host (default: localhost)-p, --port: MySQL port (default: 3306)-u, --user: MySQL user (default: root)-P, --password: MySQL password (default: empty)-d, --database: MySQL database (default: test)
Examples
Basic usage with default settings:
crimson-mysql-mcpSpecify custom host and database:
crimson-mysql-mcp --host db.example.com --database myappUsing short flags:
crimson-mysql-mcp -h 192.168.1.100 -u myuser -P mypass -d productionClaude Desktop Configuration
Using environment variables (recommended):
{
"mcpServers": {
"mysql": {
"command": "npx",
"args": [
"-y",
"crimson-mysql-mcp@1.0.2"
],
"env": {
"MYSQL_HOST": "your-mysql-host",
"MYSQL_PORT": "3306",
"MYSQL_USER": "your-username",
"MYSQL_PASSWORD": "your-password",
"MYSQL_DATABASE": "your-database"
}
}
}
}For local development:
{
"mcpServers": {
"mysql": {
"command": "node",
"args": [
"/path/to/your/crimson-mysql-mcp/build/index.js"
],
"env": {
"MYSQL_HOST": "localhost",
"MYSQL_USER": "root",
"MYSQL_DATABASE": "test"
}
}
}
}Available Tools
get-schema: Get the schema/structure of a MySQL table
Parameters:
schemaName(string) - The name of the table to describe
Development
# Install dependencies
npm install
# Run in development mode
npm run server:dev
# Build the project
npm run build
# Watch and rebuild on changes
npm run server:build:watch
# Run with MCP Inspector (for debugging)
npm run server:inspectPublishing to npm
To make this package available via npx:
Update the package.json with your npm account details
Run:
npm publish
License
ISC
Available Tools
1 toolget-schemaARead-only
Get the schema of a table
| Name | Required | Description | Default |
|---|---|---|---|
| schemaName | Yes | The name of the schema |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the agent knows this is a safe read operation. The description adds no behavioral context beyond what annotations provide (e.g., no information about permissions, rate limits, or what happens if the schema doesn't exist). It doesn't contradict annotations, but offers minimal additional value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with zero wasted words. It's front-loaded with the essential purpose and appropriately sized for a simple tool. Every word earns its place, making it highly efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only tool with good annotations and full schema coverage, the description is minimally adequate. However, without an output schema, it doesn't explain what the return value looks like (e.g., structure of the schema object). Given the tool's simplicity, it's complete enough but leaves gaps about output format.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the input schema fully documents the single parameter 'schemaName'. The description adds no parameter-specific information beyond implying it's for a table schema. Baseline 3 is appropriate when the schema carries the full parameter documentation burden.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get') and resource ('schema of a table'), making the purpose immediately understandable. It's specific about what it retrieves, though it doesn't need to differentiate from siblings since there are none. The verb+resource combination is precise and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when needing table schema information, but provides no explicit guidance on when to use it versus alternatives or any prerequisites. With no sibling tools, the need for differentiation is minimal, but it lacks any context about typical use cases or limitations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
get-schema
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clear, distinct purpose focused on retrieving table schema information.
A single tool inherently has perfect naming consistency, as there are no other tools to compare against. The tool name 'get-schema' follows a clear verb-noun pattern and uses kebab-case consistently (though this is trivial with one tool).
A MySQL server with only one tool is severely under-scoped for its domain. MySQL involves operations like querying, inserting, updating, deleting, managing connections, and handling transactions, so a single schema retrieval tool represents an extreme mismatch with the expected functionality.
The tool surface is severely incomplete for a MySQL server. It lacks basic CRUD operations (create, read, update, delete), query execution, connection management, and other essential database functions, making it impossible for agents to perform meaningful database interactions.
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