# mcp_server

> mcp_server — gurkanfikretgunak-mcp-server. Use this tool when you need to manage Python packages in a production environment with enhanced security and auditing features. The mcp_server provides a robust interface for installing, uninstalling, and syncing packages, as well as exposing resources such as package lists and dependency trees, with support for both stdio and HTTP transports. It is ideal for enterprise settings where package management and version control, including git integration, are critical.

Canonical page: https://skillsregistry.net/skills/gurkanfikretgunak-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/gurkanfikretgunak-mcp-server

## Description

A production-ready MCP (Model Context Protocol) server for managing Python packages using uv, with enterprise features including security, auditing, and support for both stdio and HTTP transports. The server exposes resources (package lists, dependency trees, project indexing) and tools (install, uninstall, sync) while maintaining learning-focused

## Trust

- **Trust score (0–1):** 0.11
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gurkanfikretgunak/mcp_server)

## 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": "gurkanfikretgunak-mcp-server"
    }
  }
}
```

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