# uv-mcp

> Use this tool when you need to manage Python environments and dependencies for large language models (LLMs), enabling package inspection, installation, and requirement management through a unified interface. It solves problems related to dependency conflicts, package versioning, and environment consistency, streamlining the development and deployment of LLMs. Ideal for use cases involving complex Python projects, uv-mcp simplifies dependency management, taking package requirements as input and outputting a consistent and functional environment.

Canonical page: https://skillsregistry.net/skills/dmclain-uv-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dmclain-uv-mcp

## Description

Enables LLMs to manage Python environments and dependencies via uv, supporting package inspection, installation, and requirement management.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cede2ebv2m)
- **Repository:** <https://github.com/dmclain/uv-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": "dmclain-uv-mcp"
    }
  }
}
```

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