What is the purpose of this guide?
It helps users set up a local MCP server using Ollama and CherryStudio, and provides a minimal Python example (`hello-mcp-server`) to get started.
@AndyM129
基本信息
MCP Server 示例
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp_playground": {
"command": "uv",
"args": [
"version"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
1、前言 is a tutorial-style guide for setting up a local MCP (Model Context Protocol) server using Ollama and CherryStudio, aimed at developers who want to experiment with local large language models and MCP tools. It walks through installing dependencies, creating a simple Python MCP server named "hello-mcp-server", integrating it with CherryStudio, and testing the connection.
Follow the steps in the guide: install Ollama and a model (e.g., phi4), install CherryStudio, install uv, initialize a Python project with mcp[cli], write a tool using FastMCP, run mcp dev hello_mcp_server.py, then add the MCP server in CherryStudio and enable it in a conversation.
uv and mcp[cli].It helps users set up a local MCP server using Ollama and CherryStudio, and provides a minimal Python example (`hello-mcp-server`) to get started.
You need Ollama, a local model, CherryStudio, Python, `uv` (package manager), and the `mcp[cli]` package. The guide installs all dependencies step by step.
Run `mcp dev hello_mcp_server.py` to start the MCP Inspector, then access `http://127.0.0.1:6274` in a browser to connect and test tools.
In CherryStudio, add a new MCP server with the command `uv run hello_mcp_server.py` (or similar), then set a large model (e.g., Ollama's phi4), and enable the MCP server in a conversation.
No, it is a basic tutorial for local testing and development. The example server only responds to a simple greeting tool.

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