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Planetscale MCP

by planetscale

Gives AI agents direct access to PlanetScale databases through the PlanetScale MCP server.

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Install Planetscale MCP

Run the project’s own setup commands, in order.

Setup steps from the project

planetscale/mcp installs with its own commands rather than a config we can generate, so these are copied as-is. Run them in order in a terminal. Source: github.com

  1. 1. Install
    brew install planetscale/tap/pscale

Overview

planetscale/mcp is the PlanetScale CLI's MCP server integration for giving AI agents direct access to PlanetScale databases. The hosted server is available through PlanetScale's MCP endpoint. Reach for it when an agent needs to work with PlanetScale data as part of a database-focused workflow.

Use cases

  • Give an AI agent access to PlanetScale databases
  • Connect an MCP-compatible client to PlanetScale's hosted endpoint
  • Build database workflows around the PlanetScale platform

Key features

  • Direct AI access to PlanetScale databases
  • Hosted PlanetScale MCP endpoint
  • MCP-based database tooling
  • Integration with the PlanetScale CLI ecosystem

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked

Recent health check succeeded.

22/23 checks healthy over the last 95d

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars672Stargazers on the source repository.
Last commit1d agoMost recent push to the default branch.
Directory activity2 viewsConfig copies, upvotes, and views on AllMCPs.

How Planetscale MCP works

What planetscale/mcp does

planetscale/mcp connects AI agents to PlanetScale databases through the Model Context Protocol. It is provided as part of the PlanetScale CLI ecosystem and is intended to expose PlanetScale database access as agent-usable tools.

The integration is relevant for teams using PlanetScale as their database platform and wanting an AI client to interact with those databases through MCP rather than through a custom application integration.

How it works

PlanetScale provides a hosted MCP server for this integration. An MCP-compatible AI client connects to the hosted PlanetScale endpoint, after which the agent can use the server's database-access tools. The repository points to PlanetScale's MCP documentation for the connection details and usage instructions.

This server is distinct from the broader pscale command-line interface, which also handles PlanetScale concepts such as branches and deploy requests. The MCP integration focuses on making PlanetScale database access available to AI agents.

Setup and configuration

Use the hosted PlanetScale MCP server at:

https://planetscale.com/docs/connect/mcp

The PlanetScale CLI itself can be installed on macOS with Homebrew, on Windows with Scoop, or on Linux and other platforms using release binaries. The CLI also has Docker images. These installation paths apply to pscale; connecting an AI client to the hosted MCP server follows PlanetScale's MCP setup instructions.

For local CLI usage, some commands require a MySQL 8 client in the system path. That requirement belongs to the CLI and is separate from the hosted MCP connection.

Tools and capabilities

  • Provides AI tools with direct access to PlanetScale databases.
  • Exposes PlanetScale database operations through MCP.
  • Offers a hosted endpoint for MCP clients.
  • Fits database workflows built around the PlanetScale platform.

Limitations and notes

The PlanetScale CLI includes additional functionality for branches, deploy requests, and other PlanetScale concepts; those CLI capabilities should not be assumed to be MCP tools.

The repository also links PlanetScale skills for operational workflows such as inventory, safety review, and schema recommendations. Those skills are a separate installation from the MCP server and should be evaluated independently.

Read the full README View source on GitHub

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Frequently Asked Questions about Planetscale MCP

planetscale/mcp is an MCP server that connects AI agents to PlanetScale databases. Its main tools provide direct database access through the Model Context Protocol, using PlanetScale's hosted MCP endpoint so compatible clients can incorporate PlanetScale database workflows.

Use PlanetScale's hosted MCP server rather than installing a separate package. Configure your MCP-compatible client with the endpoint and instructions at https://planetscale.com/docs/connect/mcp.

planetscale/mcp connects to PlanetScale databases. It is designed to give AI agents direct access to databases hosted on the PlanetScale platform through MCP.

Yes. The MCP integration is included in the PlanetScale CLI ecosystem, although the hosted MCP server and the broader `pscale` command-line interface are separate ways to work with PlanetScale.

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