# MCP-PIF Server

> Use this tool when you need to facilitate human-AI interaction and understanding through structured protocols. The MCP-PIF Server implements the Model Context Protocol to enable meaningful exchanges between humans and AI systems, solving problems related to communication and collaboration. It takes in user inputs and AI outputs, providing a framework for progressive interaction patterns to emerge.

Canonical page: https://skillsregistry.net/skills/hungryrobot1-mcp-pif  
JSON: https://api.skillsregistry.net/v1/skills/hungryrobot1-mcp-pif

## Description

This server implements the Model Context Protocol to facilitate meaningful interaction and understanding development between humans and AI through structured tools and progressive interaction patterns.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fr71fvl2at)
- **Repository:** <https://github.com/hungryrobot1/MCP-PIF>

## 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": "hungryrobot1-mcp-pif"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hungryrobot1-mcp-pif` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hungryrobot1-mcp-pif/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