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Hire an agent to watch your Supabase project. Prepared prompts for four monitoring roles, ready to run in Claude Routines, Codex, Cursor Automations, or any environment you choose.
Most attempts to use agents for monitoring fail for the same reason: the brief is too vague. "Monitor and fix" is not a job description. An expert needs a defined scope, the right data sources, and a clear format for what they report back.
We shipped a few things to make this even more powerful with Supabase's AI tooling.
Hire an agent
The Hire an agent guide defines four roles, each with a prepared prompt and setup instructions for Claude Routines, Codex scheduled tasks, or Cursor Automations:
Health — API and Auth error rates, connection pressure, instance state
Capacity — request, error, storage, and connection growth against baselines
Each prompt scopes the agent to a specific job, runs across a fresh context, and routes findings through your existing integrations — Linear, Slack, wherever your team tracks work. Copy the prompt as-is or adapt it. It runs in any environment that supports MCP, not just the ones listed.
The Supabase plugin
The MCP server already covers a broad range of Supabase tooling — database management, debugging, Edge Functions, branching, and more. A new query_logs tool extends that with structured access to logs across all services: API, Auth, Storage, Edge Functions, and Postgres. Everything you'd debug with a SQL query against your instance, your agent can now reach through MCP.
The agent skills pair with that data: they teach agents how to use Supabase correctly, pulling from a docs structure rebuilt so agents find the right material reliably. More knowledge on what the data means and where to look.
Read the Hire an agent guide, pick a role, and copy the prepared prompt into your environment of choice. To use the full Supabase toolset, install the plugin from the AI tools page.
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Hire an agent to watch your Supabase project. Prepared prompts for four monitoring roles, ready to run in Claude Routines, Codex, Cursor Automations, or any environment you choose.
Most attempts to use agents for monitoring fail for the same reason: the brief is too vague. "Monitor and fix" is not a job description. An expert needs a defined scope, the right data sources, and a clear format for what they report back.
We shipped a few things to make this even more powerful with Supabase's AI tooling.
Hire an agent
The Hire an agent guide defines four roles, each with a prepared prompt and setup instructions for Claude Routines, Codex scheduled tasks, or Cursor Automations:
Each prompt scopes the agent to a specific job, runs across a fresh context, and routes findings through your existing integrations — Linear, Slack, wherever your team tracks work. Copy the prompt as-is or adapt it. It runs in any environment that supports MCP, not just the ones listed.
The Supabase plugin
The MCP server already covers a broad range of Supabase tooling — database management, debugging, Edge Functions, branching, and more. A new
query_logstool extends that with structured access to logs across all services: API, Auth, Storage, Edge Functions, and Postgres. Everything you'd debug with a SQL query against your instance, your agent can now reach through MCP.The agent skills pair with that data: they teach agents how to use Supabase correctly, pulling from a docs structure rebuilt so agents find the right material reliably. More knowledge on what the data means and where to look.
Both are part of the Supabase plugin — the MCP server and skills bundled for a single install.
Get started
Read the Hire an agent guide, pick a role, and copy the prepared prompt into your environment of choice. To use the full Supabase toolset, install the plugin from the AI tools page.
Affected products: AI, Observability
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