# mcp

> mcp — pouyaesmaeili-mcp. Use this tool when you need to manage and synchronize model contexts across different environments and versions, solving problems of model inconsistency and version control. It provides an interface for inputs such as model definitions and outputs like synchronized model contexts, enabling seamless collaboration and version tracking through git integration. Ideal for use cases involving multiple models, teams, or deployments, MCP streamlines model management and reduces errors.

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

## Description

Model Context Protocol (MCP)

## 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:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/PouyaEsmaeili/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": "pouyaesmaeili-mcp"
    }
  }
}
```

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