What Is MCP (Model Context Protocol)? The USB-C of AI Tool Integration
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.
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
Next Steps
Three services to leverage MCP strategically in your organization:
- MCP Discovery Workshop. 4-hour workshop — which of your systems need MCP servers, which scenarios create value.
- Custom MCP Server Development. Build MCP servers for your internal (legal, finance, ops, customer) systems in Python/TypeScript.
- MCP + Agent Architecture Audit. Audit for MCP integration, security (KVKK + sandboxing), observability of your existing agent infrastructure.
References
- Model Context Protocol Specification — Anthropic, Anthropic ·
- MCP Introduction Blog — Anthropic, Anthropic ·
- OpenAI Adopts MCP — OpenAI, OpenAI ·
- MCP Python SDK — Anthropic, GitHub ·
- MCP TypeScript SDK — Anthropic, GitHub ·
- MCP Servers Registry — Community, GitHub ·
- JSON-RPC 2.0 — JSON-RPC WG, JSON-RPC ·
- Claude Code MCP — Anthropic, Anthropic ·
- A2A Protocol — Google, Google ·
- KVKK — Republic of Turkiye, Republic of Turkiye ·
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 what is an LLM and what is an AI agent guides.
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