# venv-mcp-server

> Use this tool when you need to manage Python virtual environments and resolve dependencies for Large Language Models (LLMs). It provides a reliable way to update virtual environments, taking input from LLMs and outputting managed environments with resolved dependencies. Ideal for use cases where consistent and accurate dependency management is crucial, such as in AI model development and deployment.

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

## Description

An MCP server that manages Python virtual environments using uv, allowing LLMs to reliably resolve dependencies and update virtual environments.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u37uzsv7gi)
- **Repository:** <https://github.com/sparfenyuk/venv-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": "sparfenyuk-venv-mcp-server"
    }
  }
}
```

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