Mysql MCP

Name: Mysql MCP
Author: neverinfamous

by neverinfamousversion 1.0.0i★ –iRuns on your computer

Registry nameio.github.neverinfamous/mysql-mcp

Install

Overview

Description from the maker (original English)

Enterprise-grade MySQL MCP Server with OAuth 2.0, 106 tools, and Docker deployment

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Databases & datasets

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "mysql": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/writenotenow/mysql-mcp:v1.0.0"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mysql -- docker run -i --rm docker.io/writenotenow/mysql-mcp:v1.0.0

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "mysql": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/writenotenow/mysql-mcp:v1.0.0"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "mysql": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/writenotenow/mysql-mcp:v1.0.0"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account neverinfamous, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

More stars than 0% of the other 954 servers in this category
Published to the registry more recently than 2% of the other 954 servers in this category
Basic checks equal to or better than 100% of the other 954 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Mysql MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 11 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Supabase

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated today

Install

MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 2 days ago

Install

Elasticsearch MCP Server

by cr7258

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Runs on your computer★ 315Apache-2.0Updated 14 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MySQL MCP Server (mysql-mcp)

[📚 Full Documentation (Wiki)](https://github.com/neverinfamous/mysql-mcp/wiki) • [Changelog](CHANGELOG.md) • [Security](SECURITY.md) • [Release Article](https://adamic.tech/articles/mysql-mcp-server)

💎 Value Proposition

Integrate your AI agents with a production-ready MySQL environment. Deploy MCP v2 stateless architecture via HTTP transport. Optimize token efficiency via Code Mode. Secure your database with OAuth 2.1.

🎯 Leverage Core Benefits

Feature	Description
Specialized Tools	Access specialized tools for core CRUD, JSON, spatial data, document stores, and clusters.
Resources	Monitor schema, performance metrics, process lists, replication status, and InnoDB diagnostics in real-time.
AI-Powered Prompts	Execute guided workflows for query building, schema design, performance tuning, and infrastructure setup.
Code Mode	Reduce LLM token consumption by consolidating operations inside a secure, sandboxed V8 isolate.
Token-Optimized Payloads	Maximize token efficiency. Use optional flags to reduce response size for large payloads.
OAuth 2.1 Security	Enforce granular access control with RFC compliance, strict scopes, and Keycloak integration.
Smart Tool Filtering	Use tool groups and shortcuts to stay within IDE tool limits.
Streamable & Stateless HTTP	Support MCP v2 streamable HTTP and stateless HTTP deployments.
Connection Pooling	Leverage built-in connection pooling for efficient, highly concurrent database access.
Ecosystem Integrations	Manage MySQL Router, ProxySQL, and MySQL Shell utilities directly from your agent.
Advanced Encryption	Enforce TLS/SSL connections. Manage data masking, encryption monitoring, and compliance effortlessly.
Production-Ready Security	Prevent SQL injection with parameterized queries. Rely on strict input validation and audit logging.
Deterministic Errors	Receive structured responses with actionable suggestions. Eliminate silent failures and raw exceptions.
Observability	Export Prometheus metrics. Track container logs with Dozzle and audit trails with Grafana Alloy/Loki.
Strict TypeScript	Rely on strict TypeScript backed by robust test suites.
MCP v2 Compliant	Fully support the MCP v2 specification. This includes stateless routing, caching, safety hints, and notifications.

🤖 Automate Tasks with Guided Workflows

This server includes intelligent prompts for guided workflows:

Prompt	Description
`mysql_tool_index`	Complete tool index with categories
`mysql_quick_query`	Quick query execution shortcut
`mysql_quick_schema`	Quick schema exploration
`mysql_setup_observability`	Complete observability stack setup guide (Datadog, etc.)

Note: This is a subset of available prompts. Use mysql_tool_index to discover the full list of guided workflows.

📊 Improve Observability with Resources

This server exposes a comprehensive set of resources for database observability and telemetry:

Resource	Category	Description
`mysql://schema`	Core	Full database schema
`mysql://tables`	Core	Table listing with metadata
`mysql://variables`	Core	Server configuration variables
`mysql://status`	Core	Server status metrics
`mysql://processlist`	Core	Active connections and queries
`mysql://pool`	Core	Connection pool statistics
`mysql://capabilities`	Extended	Server version, features, and tool categories
`mysql://health`	Extended	Comprehensive database health status
`mysql://performance`	Extended	Query performance metrics
`mysql://indexes`	Extended	Index usage and statistics
`mysql://replication`	Extended	Replication status and lag
`mysql://innodb`	Extended	InnoDB buffer pool and engine metrics
`mysql://events`	Domain	Event Scheduler status and scheduled events
`mysql://sysschema`	Domain	sys schema diagnostics summary
`mysql://locks`	Domain	InnoDB lock contention detection
`mysql://cluster`	Domain	Group Replication / InnoDB Cluster status
`mysql://spatial`	Domain	Spatial columns and indexes
`mysql://docstore`	Domain	Document Store collections
`mysql://insights`	Analytics	Business insights memo from mysql_append_insight
`mysql://metrics`	Observability	In-memory token usage, latency, and request metrics
`mysql://audit`	Observability	Forensic trail and snapshot of system errors
`mysql://help`	Documentation	Critical gotchas and high-level API reference
`mysql://help/{group}`	Documentation	Dynamic group-specific tool reference (e.g., `core`, `codemode`)

🚀 Deploy Your AI Database

Meet Prerequisites

Node.js >= 24.0.0 (See .node-version for the pinned local development version)
Bun (for executing repository automation scripts)
MySQL server
pnpm

Install the Server

Install via NPM / PNPM

pnpm add -g @neverinfamous/mysql-mcp

Run the server:

mysql-mcp --transport stdio --mysql "mysql://mcp_user:secure_password@localhost:3306/testdb"

Or use npx without installing:

npx @neverinfamous/mysql-mcp --transport stdio --mysql "mysql://mcp_user:secure_password@localhost:3306/testdb"

Run with Docker

Note on Namespaces: The Docker image uses the writenotenow namespace. The GitHub repo uses neverinfamous.

Linux Users: For host.docker.internal on Linux, run the container with --add-host host.docker.internal:host-gateway.

docker run -i --rm -v ./data:/app/data -v ./logs:/var/log/mysql-mcp writenotenow/mysql-mcp:latest \

--transport stdio \ --allowed-io-roots /app/data \ --mysql "mysql://mcp_user:secure_password@host.docker.internal:3306/testdb"

Enable Observability via Docker Compose

Launch the full observability stack using the included template. This includes Datadog, OpenTelemetry, Prometheus, and Grafana. This spins up the MCP server, MySQL database, Redis, and observability sidecars:

cd examples/basic-mysql-datadog

cp .env.example .env docker compose up -d

Grafana: Available at http://localhost:3001 (Dashboard pre-loaded).
Prometheus: Available at http://localhost:9090.
MCP Server: Available at http://localhost:3000.

Follow Datadog & OpenTelemetry Observability Rules

Datadog Constraints:

Authentication: Use pup CLI for authentication.
Autodiscovery: Avoid duplicate autodiscovery configurations. Add standard tracking labels (tags.datadoghq.com/env, tags.datadoghq.com/service, tags.datadoghq.com/version) to your containers.
WSL2 Hardening Limits: Enforce stop_grace_period: 30s, mem_limit: 1536m, and OpenMetrics timeouts of 10s.
Host Configuration: Use DD_HOSTNAME and native /etc/docker/daemon.json cgroup configurations ("default-cgroupns-mode": "host"). Disable DD_EXTRA_PERFORMANCE_METRICS.
Windows File Tailing: Be warned that Windows inotify tailing issues may occur with Docker/WSL2 log mapping.

OpenTelemetry Rules:

Semantic Conventions: Enforce gen_ai.* semantics.
Instrumentation: Use auto-instrumentation when possible.
Context Propagation: Ensure traceparent and tracestate propagation.
Processing & Logging: Utilize batch processors and ensure logs are formatted as JSON logs.

Audit Architecture & Exporter Healthcheck:

The primary MCP server writes execution traces to mcp-audit.jsonl via the --audit-log flag.
The metrics exporter runs as an independent sidecar process. It reads from mcp-audit.jsonl using the AUDIT_LOG_PATH environment variable to compute metrics.
The exporter isolates its own internal logs by setting its --audit-log flag to exporter-audit.jsonl.
The metrics server and exporter share a single process. Both operate on port 3000. This prevents port contention.
Exporter Healthcheck: wget --spider -q http://127.0.0.1:3000/metrics

Build From Source

git clone https://github.com/neverinfamous/mysql-mcp.git

cd mysql-mcp pnpm install pnpm run build node dist/cli.js --transport stdio --mysql "mysql://mcp_user:secure_password@localhost:3306/testdb"

🏗️ Use Infrastructure Templates

We provide production-ready Docker Compose templates in the examples/ directory. Use these to spin up test environments quickly. These templates include full Datadog observability out-of-the-box (Metrics, APM, and Logs).

[Basic Template](examples/basic-mysql-datadog): A lightweight, single-node MySQL setup. Perfect for quick starts.
[Enterprise HA Template](examples/enterprise-ha-mysql): A highly-available InnoDB Cluster with MySQL Router and ProxySQL. Perfect for staging or production replicas.
[Full Observability Ecosystem](examples/full-observability-ecosystem): A complete enterprise monitoring stack with Datadog, Prometheus, Grafana, Loki, and Alloy. See the [Observability Wiki](https://github.com/neverinfamous/mysql-mcp/wiki/Observability) for deep-dive metrics configuration.

See the README in each directory for quick start instructions.

⚡ Optimize Token Usage with Code Mode

Code Mode (mysql_execute_code) reduces token usage by consolidating operations in a secure sandbox.

Code executes securely in a C++ V8 isolate sandbox. It enforces strict heap limits and synchronous termination. Native wrappers map all API calls across the boundary. This guarantees defense-in-depth and fleet-standard restrictions:

Enforce Engine-Level Restrictions

✅ Strict V8 Isolate Boundary — Code executes within a physically separate V8 isolate. It ensures native objects and prototypes cannot cross the boundary.
✅ Memory & CPU Constraints — enforced at the C++ level. This includes synchronous timeouts and strict heap limits.
✅ **API Bindings

Only the beginning is shown; read the rest in the repo

Mysql MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Databases & datasetsi

Common questions

Alternatives

Supabase

MongoDB MCP Server

Elasticsearch MCP Server

README from the maker

MySQL MCP Server (mysql-mcp)

💎 Value Proposition

🎯 Leverage Core Benefits

🤖 Automate Tasks with Guided Workflows

📊 Improve Observability with Resources

🚀 Deploy Your AI Database

Meet Prerequisites

Install the Server

Install via NPM / PNPM

Run with Docker

Enable Observability via Docker Compose

Follow Datadog & OpenTelemetry Observability Rules

Build From Source

🏗️ Use Infrastructure Templates

⚡ Optimize Token Usage with Code Mode

Enforce Engine-Level Restrictions