MCP Server Supabase — Data skill for Claude Code
Supabase database and auth integration.
How to install MCP Server Supabase
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open supabase-community/supabase-mcp and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What MCP Server Supabase does
[](https://registry.modelcontextprotocol.io/?q=com.supabase%2Fmcp)
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README
Supabase MCP Server
[](https://registry.modelcontextprotocol.io/?q=com.supabase%2Fmcp)
Connect your Supabase projects to Cursor, Claude, Windsurf, and other AI assistants.
The [Model Context Protocol](https://modelcontextprotocol.io/introduction) (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the [full list of tools](#tools).
Setup
1. Follow our security best practices
Before setting up the MCP server, we recommend you read our [security best practices](#security-risks) to understand the risks of connecting an LLM to your Supabase projects and how to mitigate them.
2. Configure your MCP client
To configure the Supabase MCP server on your client, visit our [setup documentation](https://supabase.com/docs/guides/getting-started/mcp#step-2-configure-your-ai-tool). You can also generate a custom MCP URL for your project by visiting the [MCP connection tab](https://supabase.com/dashboard/project/_?showConnect=true&connectTab=mcp) in the Supabase dashboard.
Your MCP client will automatically prompt you to log in to Supabase during setup. Be sure to choose the organization that contains the project you wish to work with.
Most MCP clients require the following information:
{
"mcpServers": {
"supabase": {
"type": "http",
"url": "https://mcp.supabase.com/mcp"
}
}
}
If you don't see your MCP client listed in our documentation, check your client's MCP documentation and copy the above MCP information into their expected format (json, yaml, etc).
CLI
...
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