What dependencies does nativeMCP require?
Qt 6.8 (qtbase module), cpp-httplib (via vcpkg), and Ollama with a compatible LLM model (e.g., deepseek, qwen). Build tools: CMake ≥ 3.30 and Visual Studio 2022.
@SihaoH
基本情報
这是一个由C++编写的MCP系统,包括MCP核心架构的host、client和server
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
nativeMCP is a C++ implementation of the Model Context Protocol (MCP) system, providing a host (CLI-based AI Agent), MCP client, and MCP server framework. It is designed for developers who want to integrate MCP tools with local LLMs (via Ollama) or use MCP servers with other MCP-compatible software like Cursor.
Install dependencies (Qt 6.8, cpp-httplib, Ollama), build the project with CMake and Visual Studio 2022, edit config.json to set the Ollama API URL, model, and MCP server definitions, then run the host executable. The host connects to the LLM and automatically calls MCP tools based on the user's natural‑language requests.
Qt 6.8 (qtbase module), cpp-httplib (via vcpkg), and Ollama with a compatible LLM model (e.g., deepseek, qwen). Build tools: CMake ≥ 3.30 and Visual Studio 2022.
The current implementation uses a `ModelAdapter` that communicates with Ollama. The README shows an `api_key` field in config, which can be left empty for local setups, but it does not confirm support for other online APIs.
Only stdio transport is implemented for MCP communication.
Yes, the README states that the server sub‑classes can be used with other MCP‑compatible software like Cursor, using the same configuration format as the official MCP servers.
Edit the `mcpServers` section of `config.json`. On Windows, set `command` to `cmd` and `args` to `["/c"]` followed by the interpreter (e.g., the exe path, `python`, or `npx`) and server‑specific arguments.
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Model Context Protocol Servers

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