# MCP-Server-python

> MCP-Server-python — perteghella-mcp-server-python. Use this tool when you need to establish a Model Communication Protocol server for network communication, solving problems of model synchronization and data exchange between clients and servers. It takes in model updates and outputs synchronized data streams, utilizing Server-Sent Events (SSE) transport for efficient communication. Ideal for use cases requiring real-time model updates and synchronization over a network.

Canonical page: https://skillsregistry.net/skills/perteghella-mcp-server-python  
JSON: https://api.skillsregistry.net/v1/skills/perteghella-mcp-server-python

## Description

Simple implementation of a Model Communication Protocol (MCP) server using Python over the network using sse transport

## 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
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Perteghella/MCP-Server-python)

## 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": "perteghella-mcp-server-python"
    }
  }
}
```

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