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Connect AI clients to pREST PostgreSQL APIs through a stdio MCP adapter.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pREST" yet — see the docs or source repo.
Use the pREST MCP adapter to connect to the specified /_mcp endpoint and list the available PostgreSQL API capabilities.
A connected status plus a list of APIs or operations exposed by the pREST endpoint.
After connecting to the pREST /_mcp endpoint, inspect the interfaces available for accessing PostgreSQL data and explain what each one is for.
A list of accessible data interfaces with brief explanations of their purposes based on the exposed API names.
Check whether this pREST MCP stdio adapter is correctly bridged to the HTTP /_mcp endpoint and point out possible connection issues.
An assessment of whether the bridge works, plus endpoint or connection settings to verify.
Developers can use this MCP tool to bridge stdio-based AI clients to pREST’s HTTP /_mcp endpoint, enabling access to PostgreSQL-backed API capabilities.
When an AI tool only supports the MCP stdio transport, this adapter acts as a middle layer that forwards local client requests to the HTTP endpoint exposed by pREST.
It is a stdio-based MCP adapter that bridges AI clients to pREST’s HTTP /_mcp endpoint for accessing PostgreSQL APIs.
From the description, it targets pREST’s HTTP /_mcp endpoint and works with PostgreSQL-related APIs. For exact deployment details, see the source repository.
Its role is an MCP adapter: it connects stdio-capable AI clients to pREST’s HTTP endpoint rather than replacing pREST itself. For finer differences, see the source repository.
Let AI clients run PostgreSQL queries, inspect schemas, and analyze query plans.
Turn PostgreSQL databases into REST APIs for schema discovery, CRUD, filtering, and RPC.
Connect AI to PostgreSQL for queries, schema management, and data operations.
Connect AI assistants to PostgreSQL for secure querying, management, and analysis.
Safely access and diagnose PostgreSQL databases through structured MCP tools.
Securely connect AI to PostgreSQL for querying, schema analysis, and controlled writes.