# MCP-Client-and-Server-Demo

> MCP-Client-and-Server-Demo — chaitanyak77-mcp-client-and-server-demo. Use this tool when you need to build a minimal client-server architecture or integrate Claude Desktop with a custom server application. It solves problems related to streamlining employee travel requests and provides a simple interface for submitting, viewing, and tracking requests. The tool takes in travel request inputs and outputs tracked request status, all accessible through Claude's interface.

Canonical page: https://skillsregistry.net/skills/chaitanyak77-mcp-client-and-server-demo  
JSON: https://api.skillsregistry.net/v1/skills/chaitanyak77-mcp-client-and-server-demo

## Description

This project demonstrates how to build a minimal MCP server using the `mcp` Python SDK and connect it to Claude Desktop as a client. It simulates a simple Travel Desk system with tools to submit, view, and track employee travel requests — all accessible directly from Claude's interface.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ChaitanyaK77/MCP-Client-and-Server-Demo)

## 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": "chaitanyak77-mcp-client-and-server-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chaitanyak77-mcp-client-and-server-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chaitanyak77-mcp-client-and-server-demo/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