# pypi-mcp-server

> pypi-mcp-server — sunil-dhaka-pypi-mcp-server. Use this tool when you need to query PyPI package metadata, such as versions, descriptions, and requirements, to integrate with Large Language Models (LLMs). It provides fast and efficient access to package information, solving problems related to package discovery and dependency management. The tool accepts package queries as input and returns relevant metadata as output, ideal for use cases involving LLM integration and package analysis.

Canonical page: https://skillsregistry.net/skills/sunil-dhaka-pypi-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sunil-dhaka-pypi-mcp-server

## Description

FastMCP server for querying PyPI package metadata — versions, descriptions, and requirements for LLM integration

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **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/sunil-dhaka/pypi-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": "sunil-dhaka-pypi-mcp-server"
    }
  }
}
```

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