Isthmus exposes three MCP tools that AI models call to explore and query your PostgreSQL database. You don’t call these tools directly — your AI client (Claude, Cursor, etc.) invokes them automatically based on your questions.Documentation Index
Fetch the complete documentation index at: https://isthmus.dev/docs/llms.txt
Use this file to discover all available pages before exploring further.
Recommended discovery workflow
When an AI model connects to your database for the first time, the most effective sequence is:discover, narrow down to specific tables with describe_table, then write and execute SQL with query.
Tool summary
| Tool | Purpose | Parameters |
|---|---|---|
discover | Full database landscape: schemas with nested tables | (none) |
describe_table | Complete table analysis: columns, statistics, sample rows, index usage | table_name (required), schema |
query | Execute read-only SQL with optional EXPLAIN plans | sql (required), explain, analyze |
Safety guardrails
All tools operate within Isthmus’s safety model:- Read-only transactions — queries cannot modify data
- SQL validation — only
SELECTandEXPLAINstatements are allowed (enforced via PostgreSQL AST parsing) - Row limits — configurable max rows per query (default: 100)
- Query timeout — configurable timeout (default: 10s)
- Schema filtering — only expose the schemas you choose