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fix(docs)link-ch-sql-syntax (#49473)
semi related to this PR: https://github.com/supabase/changelog/pull/234 Trying to ensure the information architecture links someone reading the debugging docs to the correct info on SQL syntax required by CH. This is a simple QOL change vs doing a larger IA fix ## I have read the [CONTRIBUTING.md](https://github.com/supabase/supabase/blob/master/CONTRIBUTING.md) file. YES ## What kind of change does this PR introduce? docs update ## What is the current behavior? Does not direct users to CH sql syntax doc ## What is the new behavior? Directs users to CH sql syntax doc ## Additional context https://supabase.com/changelog/48235-migration-of-supabase-management-api-logs-all-analytics-endpoint-to-logs-endpoint <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Documentation** * Updated the MCP server description to link to Logs Explorer documentation for the supported ClickHouse SQL syntax used when querying logs. <!-- end of auto-generated comment: release notes by coderabbit.ai -->
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@@ -12,7 +12,7 @@ An AI agent can work through this loop for you, but only if it can read your pro
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Debugging with an agent needs two things:
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- The [Supabase MCP server](/docs/guides/ai-tools/mcp) provides the tools this guide relies on: `get_logs` for a per-service log dump, `query_logs` to run read-only SQL against your logs for filtering and aggregation, `get_advisors` for security and performance findings, and `execute_sql` to inspect your schema and policies.
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- The [Supabase MCP server](/docs/guides/ai-tools/mcp) provides the tools this guide relies on: `get_logs` for a per-service log dump, `query_logs` to run read-only SQL against your logs for filtering and aggregation (see [Querying with the Logs Explorer](/docs/guides/monitoring-and-debugging/logs#querying-with-the-logs-explorer) for the ClickHouse SQL syntax it accepts), `get_advisors` for security and performance findings, and `execute_sql` to inspect your schema and policies.
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- The [Supabase agent skill](/docs/guides/ai-tools/ai-skills) teaches the agent this workflow: locate the failing layer, gather evidence from the matching log source, and verify the fix by re-running the operation that failed.
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Install both in one step with the [Supabase plugin for AI coding agents](/docs/guides/ai-tools/plugins). Connecting an agent to your project carries security risks, so read the [MCP security best practices](/docs/guides/ai-tools/mcp#security-risks) first.
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