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1、前言 MCP Server

@AndyM129

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

AndyM129

About 1、前言 MCP Server

MCP Server 示例

1、前言 MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp_playground": {
      "command": "uv",
      "args": [
        "version"
      ]
    }
  }
}

1、前言 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 1、前言?

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.

How to use 1、前言?

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.

Key features of 1、前言

  • Provides a step-by-step MCP setup tutorial for local LLMs.
  • Uses Ollama as the local model backend.
  • Integrates with CherryStudio as the client.
  • Demonstrates creating a custom MCP tool with Python.
  • Includes debugging via MCP Inspector.
  • Covers installation of uv and mcp[cli].

Use cases of 1、前言

  • Developers learning to build and test custom MCP servers locally.
  • Experimenting with local LLMs (e.g., Llama, DeepSeek) via MCP tools.
  • Creating simple automation tools that can be called from a chat interface.
  • Testing MCP server integration with CherryStudio before deploying to production.

Frequently asked questions

1

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.

2

What tools and dependencies are required?

You need Ollama, a local model, CherryStudio, Python, `uv` (package manager), and the `mcp[cli]` package. The guide installs all dependencies step by step.

3

How do I debug the MCP server?

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.

4

How do I integrate the MCP server with CherryStudio?

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.

5

Is this guide for a production-ready MCP server?

No, it is a basic tutorial for local testing and development. The example server only responds to a simple greeting tool.

Comments

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