# Bio Preferred MCP Server

> Use this tool when you need to access Bio Preferred product data, enable natural language searches, or manage contracts. It solves problems related to product information retrieval, category browsing, and contract administration by providing a Model Context Protocol server interface to a PostgreSQL database. The server accepts natural language inputs and returns relevant product data, category listings, or contract information as outputs.

Canonical page: https://skillsregistry.net/skills/ginug-report-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ginug-report-mcp

## Description

A Model Context Protocol server that provides AI agents with access to Bio Preferred product data from a PostgreSQL database, enabling product searches, category listings, and contract management via natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i1vhrg4ka6)
- **Repository:** <https://github.com/ginug/Report_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": "ginug-report-mcp"
    }
  }
}
```

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