Question 1

What is FastPostgresMCP?

Accepted Answer

FastPostgresMCP is a full-featured Model Context Protocol (MCP) server designed for AI Agents to interact with multiple PostgreSQL databases. It provides a fast, type-safe, and secure way for AI agents to list tables, inspect schemas, and execute queries.

Question 2

What is MCP (Model Context Protocol)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs, allowing AI models to access and interact with external data sources and tools.

Question 3

What are the prerequisites for using FastPostgresMCP?

Accepted Answer

You need to have Bun (v1.0 or later recommended) installed and in your PATH, as well as access to PostgreSQL databases with the necessary credentials and permissions.

Question 4

How do I install FastPostgresMCP?

Accepted Answer

You can install it globally via NPM (`npm install -g postgres-mcp`) or clone the repository and install dependencies using `bun install`.

Question 5

How do I configure FastPostgresMCP to connect to my databases?

Accepted Answer

You configure database connections via environment variables in `.env` files. You need to define database aliases and connection details for each alias.

Question 6

How do I run the FastPostgresMCP server?

Accepted Answer

You can run the server using `postgres-mcp` (if installed globally), `npx postgres-mcp` (if installed locally in your project), or `bun run src/index.ts` (if running from the cloned repository).

Question 7

How do I connect my AI client (e.g., Cursor, Claude Desktop) to FastPostgresMCP?

Accepted Answer

You need to configure your AI client to execute the FastPostgresMCP server script via its command/args mechanism. Refer to the documentation for specific instructions for each client.

Question 8

What security measures are in place to protect my data?

Accepted Answer

FastPostgresMCP uses parameterized queries to prevent SQL injection attacks and provides optional API key authentication for secure network connections.

Question 9

What are the available tools in FastPostgresMCP?

Accepted Answer

The available tools include `query_tool` (for executing read-only SQL queries), `execute_tool` (for executing data-modifying SQL statements), `schema_tool` (for retrieving schema information), and `transaction_tool` (for executing multiple SQL statements atomically).

Question 10

What resources are exposed by FastPostgresMCP?

Accepted Answer

FastPostgresMCP exposes resources for listing database tables (`db://{dbAlias}/schema/tables`) and inspecting table schemas (`db://{dbAlias}/schema/{tableName}`).

Question 11

Can I use FastPostgresMCP programmatically as a library?

Accepted Answer

Yes, you can use FastPostgresMCP programmatically in your Node.js/TypeScript applications. Refer to the documentation for details on the programmatic API.

Question 12

What is UBOS and how does it relate to FastPostgresMCP?

Accepted Answer

UBOS is a Full-stack AI Agent Development Platform that complements FastPostgresMCP by providing a comprehensive environment for building, orchestrating, and deploying AI agents.

Question 13

Where can I find the license for FastPostgresMCP?

Accepted Answer

The project is licensed under the MIT License. See the LICENSE file for details.

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