# FastPostgresMCP

> Use this tool when you need to interact with multiple PostgreSQL databases efficiently, enabling AI agents to list tables, inspect schemas, execute queries, and run transactions. It solves problems related to database management, query execution, and data inspection, providing a fast and reliable interface for inputs like SQL queries and outputs like query results. Ideal for use cases requiring rapid database interactions, such as data analysis, transaction processing, and schema exploration.

Canonical page: https://skillsregistry.net/skills/llm-graph-postgres-mcp  
JSON: https://api.skillsregistry.net/v1/skills/llm-graph-postgres-mcp

## Description

A blazing fast MCP server that enables AI agents to interact with multiple PostgreSQL databases, providing functionality to list tables, inspect schemas, execute queries, and run transactions.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cu9jnv9gk1)
- **Repository:** <https://github.com/llm-graph/postgres-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": "llm-graph-postgres-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/llm-graph-postgres-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/llm-graph-postgres-mcp/pull`

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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