# What Is MCP (Model Context Protocol)? The USB-C of AI Tool Integration

> Source: https://sukruyusufkaya.com/en/blog/mcp-nedir
> Updated: 2026-07-05T13:09:06.139Z
> Type: blog
> Category: yapay-zeka
**TLDR:** What is MCP? The first comprehensive Turkish guide to Model Context Protocol (MCP), introduced by Anthropic in 2024 and adopted by OpenAI and Google in 2025. Covers what MCP is, protocol architecture (Server/Client/Transport, JSON-RPC), popular MCP servers (Slack, GitHub, Postgres, Notion, Filesystem, 150+), Claude Desktop/Cursor/Claude Code integration, building your own MCP server in Python and TypeScript, MCP vs OpenAI Function Calling, KVKK-compliant MCP, the A2A protocol, and 3 Turkish enterprise case studies.

<tldr data-summary='["MCP (Model Context Protocol), introduced by Anthropic in November 2024, is an open protocol that enables AI models to connect to external data sources and tools securely and in a standardized way. What USB-C did for hardware, MCP does for AI tool integration.","Architecture: three components — MCP Server (tool/data provider), MCP Client (agent applications like Claude Desktop, Cursor), Transport (JSON-RPC over stdio, HTTP-SSE, WebSocket).","150+ community MCP servers exist as of 2026: Slack, GitHub, Postgres, Filesystem, Notion, Linear, Jira, Salesforce, Google Drive. OpenAI adopted MCP in March 2025 — ecosystem went mainstream.","For Turkish enterprises, MCP is a strategic advantage that breaks vendor lock-in: a tool integration written once works with Claude, ChatGPT, and Gemini simultaneously.","You can write your own MCP server in 30-60 minutes using Python @mcp.tool() decorators or TypeScript Server SDK. Sandboxing, permission matrices, and audit logs are mandatory for KVKK + security."]' data-one-line="MCP is the most critical AI infrastructure standard of 2025-2026 — preventing AI agent ecosystem fragmentation and enabling a single tool integration to work with all major LLM providers."></tldr>

What is MCP? MCP (Model Context Protocol) is an open protocol that connects AI models to external tools, data sources, and systems through a standard interface. For AI applications it provides a universal connectivity layer, much like USB-C unifies different devices under one standard.

## 1. What is MCP? Why Now?

The biggest problem in the 2023-2024 agent ecosystem was **fragmentation**: each LLM provider exposed its own tool-use API (OpenAI Function Calling, Anthropic Tool Use, Google Function Calling), and each SaaS product had to write separate integrations for each provider.

**Anthropic's MCP, introduced in November 2024**, standardized this.

(Full English version parallels the Turkish content above — covering protocol architecture, JSON-RPC, popular MCP servers, Claude Desktop setup, building custom servers in Python and TypeScript, security and KVKK compliance, Turkish case studies, A2A protocol, future trends, and 12 FAQs.)

## 2-17. (Full Sections)

The structure follows the Turkish version with parallel translation: definition, architecture, JSON-RPC details, popular MCP servers, Claude Desktop setup, custom MCP server in Python and TypeScript with concrete examples, MCP vs alternatives, security and KVKK, Turkish enterprise use cases, 3 case studies, A2A future, and the Turkish MCP community.

## FAQ Highlights

<callout-box data-variant="answer" data-title="Is MCP mandatory?">

No. MCP is a voluntary open standard. But strategically it makes sense in 2026: it reduces vendor lock-in and is the standard path of the ecosystem.

</callout-box>

<callout-box data-variant="answer" data-title="Can I build agents without MCP?">

Yes. OpenAI Function Calling, Anthropic Tool Use, Gemini Function Calling native APIs work. But they are vendor-specific; switching LLMs means rewriting tools. MCP solves this.

</callout-box>

<callout-box data-variant="answer" data-title="How hard is writing an MCP server?">

A simple tool-bearing MCP server takes 30-60 minutes in Python. Complex (auth, multi-resource, prompts) — 1-2 days. Official SDKs (Python, TypeScript) are excellent.

</callout-box>

<callout-box data-variant="answer" data-title="Is MCP safe?">

Yes when used correctly. When misused, serious security risk: prompt-injection-driven tool abuse. Sandboxes, permission matrices, audit logs, HITL secure it. Code-review third-party MCP servers before production.

</callout-box>

<callout-box data-variant="answer" data-title="What supports MCP besides Claude?">

As of 2026 Q2: Claude (official), OpenAI ChatGPT (March 2025), Microsoft Copilot Studio, Cursor, Cline, Continue, Roo Code, Replit Agent, Sourcegraph Cody. Gemini support is imminent.

</callout-box>

## Next Steps

Three services to leverage MCP strategically in your organization:

1. **MCP Discovery Workshop.** 4-hour workshop — which of your systems need MCP servers, which scenarios create value.
2. **Custom MCP Server Development.** Build MCP servers for your internal (legal, finance, ops, customer) systems in Python/TypeScript.
3. **MCP + Agent Architecture Audit.** Audit for MCP integration, security (KVKK + sandboxing), observability of your existing agent infrastructure.

<references-list data-items='[{"title":"Model Context Protocol Specification","url":"https://modelcontextprotocol.io/","author":"Anthropic","publishedAt":"2024-11","publisher":"Anthropic"},{"title":"MCP Introduction Blog","url":"https://www.anthropic.com/news/model-context-protocol","author":"Anthropic","publishedAt":"2024-11-25","publisher":"Anthropic"},{"title":"OpenAI Adopts MCP","url":"https://openai.com/index/openai-mcp-support/","author":"OpenAI","publishedAt":"2025-03","publisher":"OpenAI"},{"title":"MCP Python SDK","url":"https://github.com/modelcontextprotocol/python-sdk","author":"Anthropic","publishedAt":"2025","publisher":"GitHub"},{"title":"MCP TypeScript SDK","url":"https://github.com/modelcontextprotocol/typescript-sdk","author":"Anthropic","publishedAt":"2025","publisher":"GitHub"},{"title":"MCP Servers Registry","url":"https://github.com/modelcontextprotocol/servers","author":"Community","publishedAt":"2025-2026","publisher":"GitHub"},{"title":"JSON-RPC 2.0","url":"https://www.jsonrpc.org/specification","author":"JSON-RPC WG","publishedAt":"2010","publisher":"JSON-RPC"},{"title":"Claude Code MCP","url":"https://docs.anthropic.com/en/docs/claude-code/mcp","author":"Anthropic","publishedAt":"2025","publisher":"Anthropic"},{"title":"A2A Protocol","url":"https://github.com/google/A2A","author":"Google","publishedAt":"2025","publisher":"Google"},{"title":"KVKK","url":"https://www.kvkk.gov.tr/","author":"Republic of Turkiye","publishedAt":"2016","publisher":"Republic of Turkiye"}]'></references-list>

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This is a living document; updated **quarterly**.

## In Short: What Is MCP?

In short, the answer to what is MCP is: an open protocol that connects AI models to tools and data in a standard way — the USB-C of the AI ecosystem. An AI agent's ability to do real-world work depends largely on tool-integration layers like MCP. For the basics see the <a href="/en/blog/llm-nedir">what is an LLM</a> and <a href="/en/blog/ai-agent-nedir">what is an AI agent</a> guides.