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.
nativeMCP MCP Server
@SihaoH
Basic information
About nativeMCP MCP Server
这是一个由C++编写的MCP系统，包括MCP核心架构的host、client和server
nativeMCP MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositorynativeMCP MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is nativeMCP?
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.
How to use nativeMCP?
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.
Key features of nativeMCP
- C++ implementation of MCP host, client, and server.
- Host acts as an AI Agent with a CLI interface.
- Server base class (MCPServer) for easy tool extension.
- Supports MCP stdio transport only.
- Integrates with Ollama for local LLM inference (e.g., deepseek, qwen).
- Compatible with MCP‑aware applications like Cursor for its servers.
Use cases of nativeMCP
- Build a local AI assistant that can call custom tools (e.g., time, network utilities).
- Develop and test MCP servers written in C++.
- Use nativeMCP servers as tools in external MCP clients (Cursor, etc.).
- Automate multi‑step tasks that combine LLM reasoning with tool execution.
Frequently asked questions
Can I use nativeMCP with an online LLM API?
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.
What transport protocol does nativeMCP support?
Only stdio transport is implemented for MCP communication.
Can nativeMCP servers be used with Cursor?
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.
How do I configure MCP servers in nativeMCP?
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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