# MCP Server

> Use this tool when you need to demonstrate client-server interaction and provide greeting tools, resources, and prompts in a TypeScript environment. It solves problems related to model context protocol implementation and client-server communication, offering a scalable solution for various applications. The MCP Server takes in client requests and outputs relevant resources and prompts, making it ideal for use cases that require efficient model context management.

Canonical page: https://skillsregistry.net/skills/sanketshinde3001-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sanketshinde3001-mcp

## Description

A Model Context Protocol server that provides greeting tools, resources, and prompts, demonstrating client-server interaction using TypeScript.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mxlf4a94fz)
- **Repository:** <https://github.com/sanketshinde3001/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": "sanketshinde3001-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sanketshinde3001-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sanketshinde3001-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