Hello-MCP 🚀

Hello-MCP 🚀

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中文文档 🇨🇳

A simple implementation of MCP (Model Control Protocol) client and server. Helps understand what MCP protocol is and how it works.

This project will ✅:

• Teach you the essence of MCP protocol
• Let you build your own MCP Client and Server
• Provide hands-on experience with MCP implementation

This project won't ❌:

• Teach you how to configure existing MCP Hosts
• Implement generic server functionality (requires your own exploration)

Features ✨

MCP Client

• Supports registering MCP Server (both SSE and stdio methods)
• Interactive command line chat interface
• Supports DeepSeek API conversations (configure API key in config file)
• Streamed response output

MCP Server

• Simple server based on FastMCP (supports both SSE and stdio)
• Provides a basic path utility (lists all files in specified path)
• Health check support

DEMO

Use List_Dir Tool to get files and analysis!

Usage Guide 📖

Environment Setup

Recommended to use uv for project management

0. Clone the project

git clone https://github.com/Cookie-HOO/hello-mcp.git
cd hello-mcp

1. Install uv

Official uv installation docs

macOS:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows (requires PowerShell):

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

2. Initialize project dependencies

uv venv  # Create virtual environment
uv sync  # Install dependencies
source ./.venv/bin/activate  # macOS: activate virtual environment
.\.venv\Scripts\activate     # Windows: activate virtual environment

3. Set up DeepSeek API key

Currently only supports DeepSeek API - apply at: DeepSeek API Platform

cp ./config.example.yaml ./config.yaml
# Edit to add your DeepSeek API key

4. Run the project

# Method 1: stdio (only need to explicitly start client)
python -m hello_mcp.client2stdio --server-path ./hello_mcp/server.py

# Method 2: SSE (need to explicitly start both server and client)
python -m hello_mcp.server --transport sse  # Start server in SSE mode
python -m hello_mcp.client2sse --server-url http://127.0.0.1:8000  # Register the MCP server with client

Debugging MCP Server

uv run mcp dev hello_mcp/server.py

License 📜

MIT License. See LICENSE file for details.

👋 Contributions welcome! Feel free to open issues and discussions.

MCP Usage Guide 🛠️

1. How to use MCP in daily work

1. Find an MCP Server Host that supports your needs
2. Configure the MCP Server

MCP Host reference list:

Client	Resources	Prompts	Tools	Sampling	Roots	Notes
5ire	❌	❌	✅	❌	❌	Supports tools.
Apify MCP Tester	❌	❌	✅	❌	❌	Supports tools
BeeAI Framework	❌	❌	✅	❌	❌	Supports tools in agentic workflows.
Claude Code	❌	✅	✅	❌	❌	Supports prompts and tools
Claude Desktop App	✅	✅	✅	❌	❌	Supports tools, prompts, and resources.
Cline	✅	❌	✅	❌	❌	Supports tools and resources.
Continue	✅	✅	✅	❌	❌	Supports tools, prompts, and resources.
Copilot-MCP	✅	❌	✅	❌	❌	Supports tools and resources.
Cursor	❌	❌	✅	❌	❌	Supports tools.

2. How to find MCP tools

Resource	Recommendation
Smithery - Model Context Protocol Registry	🌟🌟🌟
https://github.com/punkpeye/awesome-mcp-servers	🌟🌟🌟
https://github.com/modelcontextprotocol/servers	🌟🌟🌟
List of all MCP Servers (42) | Portkey	🌟🌟
https://cursor.directory/mcp	🌟🌟
Open-Source MCP servers | Glama	🌟🌟
https://mcp.so/	🌟🌟
https://www.pulsemcp.com/servers	🌟🌟
Awesome MCP Servers	🌟🌟

MCP Concept Q&A ❓

Q: What problems does MCP solve?

A: MCP (Model Control Protocol) addresses:

1. Standardizing AI model interaction protocols
2. Providing unified tool calling specifications
3. Simplifying complex AI system integration
4. Enabling modular and reusable model capabilities

Q: History of MCP

A: MCP development timeline:

1. 2023: Concept introduced by Anthropic (Claude's parent company)
2. 2024: Multiple open-source implementations emerged
3. 2025: Became a standard protocol for AI system integration
4. Present: Widely used in various AI agent systems

Q: Current state of MCP

A: Main application scenarios:

1. AI assistant systems
2. Automated workflows
3. Multi-model collaboration platforms
4. Enterprise AI solutions Popular implementations include FastMCP, PyMCP etc.

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Q: Differences between MCP and Function Call

A: Similarities:

1. Both execute specific functions
2. Both require input/output definitions Differences:
3. MCP is a standardized protocol, Function Call is a language feature
4. MCP supports cross-language/platform calls
5. MCP includes complete tool discovery/registration

Q: Relationship between MCP and Agents

A: Key points:

1. Agents are entities that use MCP
2. MCP is the protocol for Agent-Agent or Agent-Tool interaction
3. One Agent can register multiple MCP tools

Project Q&A 💡

Q: How to solve DeepSeek API key configuration issues?

A: Ensure:

1. api_key field in config.yaml is correctly filled
2. No extra spaces or quotes in the key
3. Try regenerating API key if authentication fails

Q: Port already in use when starting server?

A: Solutions:

1. Check processes using port with lsof -i :8000
2. Terminate process or change server port
3. Update client registration URL

Q: How to extend with new MCP tools?

A: Steps:

1. Add new tool function in server.py
2. Register with @tool decorator
3. Define input parameter schema
4. Test calling from client

Q: uv sync command fails?

A: Possible solutions:

1. Check network connection
2. Delete .venv and recreate for dependency conflicts
3. Use sudo or fix directory permissions

Q: How to contribute code?

A: Welcome PRs on GitHub:

1. Fork the project
2. Create feature branch
3. Commit with clear messages
4. Open Pull Request