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planetscale/mcp

The planetscale/mcp server bridges the gap between LLMs and your database schema, allowing AI agents to interact directly with PlanetScale databases. Instead of manually pasting table definitions or query results into a prompt, this tool enables the model to inspect schemas, execute read queries, and analyze data in real-time. For developers, this means faster debugging and the ability to generate accurate migrations or complex SQL queries based on the actual state of the database. It integrates seamlessly via the PlanetScale CLI, eliminating the need for custom middleware to expose your data layer to AI assistants. Compared to static context windows, this provides a dynamic, live interface to your production or development environments.

Open ecosystemDatabase
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01 / SERVER DETAIL

Server detail

The planetscale/mcp server bridges the gap between LLMs and your database schema, allowing AI agents to interact directly with PlanetScale databases. Instead of manually pasting table definitions or query results into a prompt, this tool enables the model to inspect schemas, execute read queries, and analyze data in real-time. For developers, this means faster debugging and the ability to generate accurate migrations or complex SQL queries based on the actual state of the database. It integrates seamlessly via the PlanetScale CLI, eliminating the need for custom middleware to expose your data layer to AI assistants. Compared to static context windows, this provides a dynamic, live interface to your production or development environments.

An MCP server that exposes planetscale/mcp capabilities to MCP-compatible AI clients.

CapabilitiesDatabaseMCPOpen source
ProtocolModel Context Protocol
Developer ecosystemOpen ecosystem
LicenseMIT / check source
SourceGitHub
COLLECTIONS

Collections featuring this MCP

Popular MCP2026.03.30Listed
My MCP2026.03.31Listed
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02 / TOOL TESTING

Tool testing

AVAILABLE TOOL

planetscale-mcp

Callable

Call the MCP capabilities provided by planetscale/mcp and return a structured result.

PARAMETERS
inputPass arguments according to the server tool schema.
Tip: the tool may truncate responses. Use pagination parameters such as start_index to read long content in chunks.
03 / SERVICE CONFIGURATION

Connection modes

Remote
{
  "mcpServers": {
    "planetscale/mcp": {
      "url": "Generated by the provider after deployment"
    }
  }
}

The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.

03 / WORKFLOW

How to use

  1. 01
    Step 1

    Review server capabilities and permission scope.

  2. 02
    Step 2

    Copy the install command or JSON configuration.

  3. 03
    Step 3

    Run a small connection test in your client.

  4. 04
    Step 4

    Adopt it long term only after reviewing access and maintenance.

04 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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