# MCP

> MCP — shresthaalex-mcp. Use this tool when you need to streamline communication between AI tools and servers, solving integration and data exchange problems. The MCP framework takes in AI tool outputs and server requests as inputs, and provides standardized data formats as outputs, enabling seamless interaction between disparate systems. Ideal for use cases involving multi-tool workflows, data synchronization, and automated server updates, particularly in git-based development environments.

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

## Description

a framework  streamline communication between AI tools and  servers.

## Trust

- **Trust score (0–1):** 0.90
- **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/shresthaAlex/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": "shresthaalex-mcp"
    }
  }
}
```

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