# mcp

> mcp — tarunwalia-mcp. Use this tool when you need to manage and track changes in model contexts, particularly in version control systems like Git. The Model Context Protocol (mcp) solves problems related to model reproducibility and collaboration by providing a standardized interface for inputting model metadata and outputting version-controlled context information. It is ideal for use cases where model consistency and traceability are crucial, such as in machine learning development and deployment pipelines.

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

## Description

model context protocol

## Trust

- **Trust score (0–1):** 1.00
- **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/tarunwalia/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": "tarunwalia-mcp"
    }
  }
}
```

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