# pg-mcp

> Use this tool when you need to connect MCP-compatible clients to PostgreSQL databases, enabling multi-database support and efficient connection pooling to improve database interaction and performance. It solves problems of compatibility and scalability, allowing for seamless communication between clients and databases. Ideal for use cases requiring reliable and optimized database connections, such as large-scale data management and analysis applications.

Canonical page: https://skillsregistry.net/skills/igoraguiar-bun-pg-mcp  
JSON: https://api.skillsregistry.net/v1/skills/igoraguiar-bun-pg-mcp

## Description

Enables MCP-compatible clients to interact with PostgreSQL databases with multi-database support and connection pooling.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s8k52hcnm4)
- **Repository:** <https://github.com/igoraguiar/bun-pg-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "igoraguiar-bun-pg-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/igoraguiar-bun-pg-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/igoraguiar-bun-pg-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt