What prerequisites are needed?
Docker or Docker Desktop, a Supabase account, and a Supabase project with a service role key.
@coleam00
Basic information
Supabase MCP server created in Python.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"supabase-mcp-coleam00": {
"command": "docker",
"args": [
"build",
"-t",
"mcp/supabase",
"."
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol (MCP) server that provides tools for interacting with a Supabase database, enabling AI assistants to perform database operations through a standardized interface. It is a demonstration project, work in progress.
Clone the repository, build the Docker image with docker build -t mcp/supabase ., then configure your MCP client (e.g., Claude Desktop, Windsurf) with the provided JSON config, setting SUPABASE_URL and SUPABASE_SERVICE_KEY environment variables. The server runs via Docker and exposes four tools: read_table_rows, create_table_records, update_table_records, delete_table_records.
Docker or Docker Desktop, a Supabase account, and a Supabase project with a service role key.
Clone the repo, build the Docker image (`docker build -t mcp/supabase .`), then add the MCP configuration to your assistant’s config file with your Supabase credentials.
Read, create, update, and delete operations on Supabase tables, each exposed as a separate MCP tool.
No – the README states it is a demonstration and still a work in progress.
Via the environment variables `SUPABASE_URL` and `SUPABASE_SERVICE_KEY`, passed to the Docker container in the MCP configuration.

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