# MCP-Model-Context-Protocol

> MCP-Model-Context-Protocol — cloudstreet-dev-mcp-model-context-protocol. Use this tool when you need to connect AI applications to various tools and data sources using a standardized protocol. The Model Context Protocol (MCP) solves integration problems by providing a common architecture and wire protocol for building servers and clients, with support for multiple SDKs and programming languages. It is ideal for developers working with AI apps, data, and tools, and seeking a standardized interface for secure and efficient communication.

Canonical page: https://skillsregistry.net/skills/cloudstreet-dev-mcp-model-context-protocol  
JSON: https://api.skillsregistry.net/v1/skills/cloudstreet-dev-mcp-model-context-protocol

## Description

A developer's guide to the Model Context Protocol — the open standard connecting AI apps to tools and data. Covers architecture, wire protocol, building servers (TypeScript & Python) and clients, all 10 SDKs, configuration, security, testing, production patterns, and the ecosystem.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** CC0-1.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/cloudstreet-dev/MCP-Model-Context-Protocol)

## 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": "cloudstreet-dev-mcp-model-context-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cloudstreet-dev-mcp-model-context-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cloudstreet-dev-mcp-model-context-protocol/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