# Paws-on-MCP

> Use this tool when you need to analyze and generate text based on real-world data from GitHub and HackerNews, leveraging enhanced sampling capabilities and AI-powered insights. It solves problems related to natural language processing, data analysis, and AI model context management, providing a comprehensive interface for inputs and outputs. Ideal for use cases requiring advanced text analysis, model training, and data-driven decision making.

Canonical page: https://skillsregistry.net/skills/hemanth-paws-on-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hemanth-paws-on-mcp

## Description

A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c4ma8gf9e9)
- **Repository:** <https://github.com/hemanth/paws-on-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": "hemanth-paws-on-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hemanth-paws-on-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hemanth-paws-on-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