mcp-supabase-management
Provides tools for managing Supabase projects, databases, edge functions, secrets, and branches via the Supabase Management API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-supabase-managementlist all my projects"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-supabase-management
MCP server and LangChain tools for the Supabase Management API -- manage projects, databases, edge functions, secrets, and branches across all your Supabase organizations.
Features
24 tools across 7 categories:
Category | Tools | Description |
Organizations |
| List all organizations |
Projects |
| Full project lifecycle management |
Database |
| SQL execution, schema inspection, TypeScript type generation |
Branches |
| Database branching for development workflows |
Functions |
| Edge function management and deployment |
Secrets |
| Project secret management |
Logs |
| Access logs for API, Auth, DB, Realtime, Storage, and Functions |
Related MCP server: Supabase MCP HTTP Server
Installation
# Core library
pip install .
# With MCP server support
pip install ".[mcp]"
# With LangChain tools
pip install ".[langchain]"
# Everything
pip install ".[all]"Configuration
Variable | Required | Default | Description |
| Yes | (none) | Supabase Management API access token ( |
.env Example
SUPABASE_ACCESS_TOKEN=sbp_your_token_hereQuick Start
As MCP Server
mcp-supabase-managementAdd to Claude Code (~/.claude.json):
{
"mcpServers": {
"supabase-management": {
"type": "stdio",
"command": "uv",
"args": ["--directory", "/path/to/mcp-supabase-management", "run", "mcp-supabase-management"],
"env": {
"SUPABASE_ACCESS_TOKEN": "sbp_your_token_here"
}
}
}
}As LangChain Tools
from mcp_supabase_management.langchain_tools import TOOLS, supabase_list_projects, supabase_execute_sql
# Use all 24 tools with an agent
agent = create_react_agent(llm, TOOLS)
# Or use individual tools
print(supabase_list_projects.invoke({}))
print(supabase_execute_sql.invoke({
"project_ref": "your_project_ref",
"query": "SELECT * FROM users LIMIT 10",
}))As Python Library
from mcp_supabase_management.client import SupabaseManagementClient
from mcp_supabase_management.operations import projects, database
client = SupabaseManagementClient(access_token="sbp_...")
all_projects = projects.list_projects(client)
result = database.execute_sql(client, "project_ref", "SELECT 1")Error Handling
The server returns structured error messages:
{
"error": "API Error (401): Invalid access token"
}Common errors:
401- Invalid or expired access token404- Project or resource not found422- Invalid request parameters429- Rate limit exceeded
License
MIT
This server cannot be installed
Maintenance
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