Hello Mcp Python

@jameswardon 9 months ago

1 MIT

FreeCommunity

AI Systems

A Python project for running and inspecting the MCP server and client.

What is Hello Mcp Python

hello-mcp-python is a Python-based server application designed to interact with the MCP (Multi-Channel Processing) framework, enabling developers to build and run applications that utilize MCP functionalities.

Use cases

Use cases for hello-mcp-python include developing chat applications, real-time data analytics platforms, and any application that requires efficient handling of multiple data streams.

How to use

To use hello-mcp-python, first run the MCP development server using the command ‘uv run mcp dev server.py’. Then, set your API key with ‘export ANTHROPIC_API_KEY=YOUR_KEY’ and run the client with ‘uv run client.py’.

Key features

Key features of hello-mcp-python include easy integration with the MCP framework, support for asynchronous operations, and the ability to handle multiple client requests simultaneously.

Where to use

hello-mcp-python can be used in various fields such as web development, data processing, and real-time applications where multi-channel communication is required.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Hello Mcp Python

Use cases

Use cases for hello-mcp-python include developing chat applications, real-time data analytics platforms, and any application that requires efficient handling of multiple data streams.

How to use

Key features

Key features of hello-mcp-python include easy integration with the MCP framework, support for asynchronous operations, and the ability to handle multiple client requests simultaneously.

Where to use

hello-mcp-python can be used in various fields such as web development, data processing, and real-time applications where multi-channel communication is required.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

Hello, MCP Python

Inspect the server

uv run mcp dev server.py

Run the client

export ANTHROPIC_API_KEY=YOUR_KEY
uv run client.py

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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