# FastMCP PostgreSQL Query Service

> Use this tool when you need to efficiently query and retrieve data from PostgreSQL tables, solving data retrieval and search problems for applications like Cheery Exeedcars FAQs and system menus. It provides multiple connection methods, including STDIO, HTTP, and SSE, allowing for flexible data access and integration. Ideal for use cases requiring fast and reliable database querying, this service enables users to interface with PostgreSQL tables through various input methods and retrieve relevant data as output.

Canonical page: https://skillsregistry.net/skills/xjxjin-fx-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xjxjin-fx-mcp

## Description

A database query service that enables users to search and retrieve data from PostgreSQL tables for Cheery Exeedcars FAQs and system menus through multiple connection methods (STDIO, HTTP, SSE).

## Trust

- **Trust score (0–1):** 0.92
- **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/jgppw9yrfp)
- **Repository:** <https://github.com/xjxjin/fx-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": "xjxjin-fx-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xjxjin-fx-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xjxjin-fx-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