LLMCore FAQs

Question 1

What are the technical requirements for using LLMCore?

Accepted Answer

To use LLMCore, your development environment must meet the following requirements: C++20, Qt 6.5+, and CMake 3.21+.

Question 2

What are the core features for developers using LLMCore?

Accepted Answer

Developers benefit from a unified streaming API for major LLM providers, advanced streaming chat and tool calling functionality, and a robust MCP client and server for flexible integration and binding of AI tools.

Question 3

What is LLMCore?

Accepted Answer

LLMCore is a C++/Qt library designed to integrate various AI/LLM providers and Model Context Protocol (MCP) servers/clients into C++ applications. It offers a unified streaming API for major LLMs and comprehensive MCP support.

Question 4

Which LLM providers does LLMCore support?

Accepted Answer

LLMCore provides a unified streaming API for Anthropic Claude, OpenAI (Chat Completions & Responses API), Ollama, Google AI, and llama.cpp, enabling seamless interaction with these diverse models.

Question 5

What is the Model Context Protocol (MCP) and how does LLMCore use it?

Accepted Answer

MCP is a protocol for AI systems to expose and interact with external tools and resources. LLMCore includes a full MCP 2025-11-25 client and server implementation, allowing C++ applications to either provide tools via stdio/HTTP or dynamically bind tools from other MCP servers into their LLM clients.

LLMCore

LLMCore

Key Features

Use Cases

Key Features

Use Cases