About Planetscale MCP Server
PlanetScale's hosted MCP server makes organization, database, branch, schema, and Insights data available to MCP-compatible tools. The input describes OAuth authentication with configurable permissions and scopes.
Key features
- 01Expose organization and database data
- 02Provide branch and schema information
- 03Make Insights data available
- 04Authenticate through OAuth
Use cases
- 01Giving MCP tools access to PlanetScale data
- 02Inspecting database branches and schemas
- 03Using Insights data through MCP-compatible tools
MCP support
The hosted PlanetScale MCP server exposes organization, database, branch, schema, and Insights data to MCP clients. OAuth authentication supports configurable permissions and scopes.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEPlanetScale CLI 
PlanetScale is more than a database and our CLI is more than a jumble of commands. The pscale command line tool brings branches, deploy requests, and other PlanetScale concepts to your fingertips.

Installation
macOS
pscale is available via a Homebrew Tap, and as downloadable binary from the releases page:
brew install planetscale/tap/pscale
Optional: pscale requires a MySQL 8 Client in your PATH for certain commands. You can install it by running:
brew install [email protected]
To upgrade to the latest version:
brew upgrade pscale
Linux
pscale is available as downloadable binaries from the releases page. Download the .deb or .rpm from the releases page and install with sudo dpkg -i and sudo rpm -i respectively.
Arch: pscale-cli-bin
Windows
pscale is available via scoop, and as a downloadable binary from the releases page:
scoop bucket add pscale https://github.com/planetscale/scoop-bucket.git
scoop install pscale mysql
To upgrade to the latest version:
scoop update pscale
Manually
Download the pre-compiled binaries from the releases page and copy to the desired location.
Alternatively, you can install bin which works on all macOS, Windows, and Linux platforms:
bin install https://github.com/planetscale/cli
To upgrade to the latest version
bin upgrade pscale
Container images
We provide ready to use Docker container images. To pull the latest image:
docker pull planetscale/pscale:latest
To pull a specific version:
docker pull planetscale/pscale:v0.63.0
If you like to have a shell alias that runs the latest version of pscale from docker whenever you type pscale:
mkdir -p $HOME/.config/planetscale
alias pscale="docker run -e HOME=/tmp -v $HOME/.config/planetscale:/tmp/.config/planetscale --user $(id -u):$(id -g) --rm -it -p 3306:3306/tcp planetscale/pscale:latest"
If you need a more advanced example that works with service tokens and differentiates between commands that need a pseudo terminal or non-interactive mode, have a look at this shell function.
MCP Server Integration
Use the hosted PlanetScale MCP server: https://planetscale.com/docs/connect/mcp
GitHub Actions Usage
Use the setup-pscale-action to install and use pscale in GitHub Actions.
- name: Setup pscale
uses: planetscale/setup-pscale-action@v1
- name: Use pscale
env:
PLANETSCALE_SERVICE_TOKEN_ID: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_ID }}
PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}
run: |
pscale deploy-request list my-db --org my-org
Local Development
To run a command:
go run cmd/pscale/main.go <command>
Alternatively, you can build pscale:
go build cmd/pscale/main.go
And then use the pscale binary built in cmd/pscale/ for testing:
./cmd/pscale/pscale <command>
The API client is vendored at internal/planetscale/; this repo no longer depends on
planetscale-go. Read doc/api-client.md before touching
API-facing code.
Documentation
Please checkout our Documentation page: planetscale.com/docs
For AI agents and automation, run pscale agent-guide (or pscale --skill for an
installable skill file) — see AGENTS.md.
For operational workflows (inventory, safety review, schema recommendations), install
planetscale/skills.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.