Model Context Protocol (MCP)

Example Use Cases

• 1

  Connect LLMs to local or remote data sources securely.

• 2

  Standardized tool integration with AI models like Claude Desktop or Ollama.

• 3

  Flexible and extensible protocol support for various transport models.

Description

The Model Context Protocol (MCP) defines a client-server architecture enabling AI applications like Claude Desktop and Ollama to connect with various MCP servers exposing functionalities such as database operations. It supports multiple transport models (STDIO and SSE) using JSON-RPC 2.0, allowing flexible, secure, and reusable integration of external data sources with LLMs. MCP servers can be run locally or via Docker, facilitating easy deployment and extensibility.