Postgres
Query PostgreSQL schemas and data from your agent while you build APIs, debug SQL, or verify migrations without a separate SQL client.
Overview
ai.waystation/postgres is an MCP server for the Build phase that connects your agent to PostgreSQL to query data and inspect schemas.
What is this MCP server?
- PostgreSQL query and schema access through Waystation remote MCP (v0.3.1)
- Streamable-http and SSE remotes for agent-side database exploration
- Supports indie backend loops: inspect tables, validate queries, reason about migrations
- Hosted connector—avoid wiring raw connection strings into every local MCP repo
- Complements ORM code in-repo with live catalog awareness via MCP tools
- Server version 0.3.1
- 2 remote endpoints (streamable-http and SSE)
- Open-source repo: github.com/waystation-ai/mcp
Community signal: 54 GitHub stars.
What problem does it solve?
You are fixing backend code blind because the agent cannot see your real Postgres tables, columns, or sample rows.
Who is it for?
Indie devs building on Postgres who want the coding agent to explore schema and data safely through a hosted MCP bridge.
Skip if: Projects on other databases only, or teams that forbid any agent-mediated database access regardless of hosting.
What do I get? / Deliverables
Once the Postgres MCP remote is connected, the agent can run informed queries and schema checks that match your live database.
- Agent-executed queries against connected Postgres
- Schema-aware answers for migrations and API work
- Faster validation of assumptions about tables and relationships
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Journey fit
Postgres access is anchored on Build because schema design, queries, and backend logic are where agents need live database context most often. Backend subphase fits direct SQL and schema inspection that supports API and service implementation—not frontend or marketing work.
How it compares
Live Postgres MCP connector, not a SQL style-guide skill with no database wire-up.
Common Questions / FAQ
Who is ai.waystation/postgres for?
Backend-focused solo builders using PostgreSQL who want MCP agents to query schemas and data during development and debugging.
When should I use ai.waystation/postgres?
Use it while implementing APIs, writing SQL, validating migrations, or investigating production data issues with agent assistance.
How do I add ai.waystation/postgres to my agent?
Register https://waystation.ai/postgres/mcp or https://waystation.ai/postgres/mcp/sse in MCP settings and connect your database through Waystation’s authorization flow.