Mcp Python Client Sampling Demo

2 MIT

FreeCommunity

AI Systems

Sampling test for mcp client PR

What is Mcp Python Client Sampling Demo

MCP-python-client-sampling-demo is a test project designed to evaluate the sampling functionality of the MCP client.

Use cases

Use cases include validating the performance of sampling methods in the MCP client, ensuring compatibility with different branches of the MCP Python SDK, and facilitating development and debugging processes.

How to use

To use MCP-python-client-sampling-demo, first install dependencies using ‘uv sync’, activate the virtual environment, install the PR branch of the MCP Python SDK with ‘uv pip install -e ’, and finally run the test script using ‘uv run src/test.py’.

Key features

Key features include the ability to test sampling functionality, integration with the MCP Python SDK, and a straightforward setup process.

Where to use

MCP-python-client-sampling-demo can be used in software development environments where testing of client functionalities is required, particularly in projects involving MCP.

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 Mcp Python Client Sampling Demo

MCP-python-client-sampling-demo is a test project designed to evaluate the sampling functionality of the MCP client.

Use cases

How to use

Key features

Key features include the ability to test sampling functionality, integration with the MCP Python SDK, and a straightforward setup process.

Where to use

MCP-python-client-sampling-demo can be used in software development environments where testing of client functionalities is required, particularly in projects involving MCP.

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

MCP Sampling Test

This is a test project for testing the MCP sampling functionality.

Usage

uv sync to install dependencies
activate the virtual environment
install the pr branch of mcp python sdk with uv pip install -e <path to mcp-python-sdk>
run uv run src/test.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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