Mcp Client Python
What is Mcp Client Python
mcp-client-python is a Python implementation of the Model Context Protocol (MCP) client, designed to facilitate interactions with various large language model (LLM) providers.
Use cases
Use cases for mcp-client-python include developing intelligent chatbots, integrating LLM capabilities into applications, and conducting research in AI and machine learning.
How to use
To use mcp-client-python, install the required dependencies with ‘pip install -r requirements.txt’. Then, initialize the MCPClient with your desired LLM provider, load MCP servers from a configuration file, and start a chat loop for interaction.
Key features
Key features include support for multiple LLM providers (such as Anthropic and DeepSeek), dynamic tool loading from MCP servers, configurable server connections, and a chat interface that allows for tool execution.
Where to use
mcp-client-python can be used in fields such as natural language processing, AI development, and chatbot creation, where interaction with LLMs 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.
Overview
What is Mcp Client Python
mcp-client-python is a Python implementation of the Model Context Protocol (MCP) client, designed to facilitate interactions with various large language model (LLM) providers.
Use cases
Use cases for mcp-client-python include developing intelligent chatbots, integrating LLM capabilities into applications, and conducting research in AI and machine learning.
How to use
To use mcp-client-python, install the required dependencies with ‘pip install -r requirements.txt’. Then, initialize the MCPClient with your desired LLM provider, load MCP servers from a configuration file, and start a chat loop for interaction.
Key features
Key features include support for multiple LLM providers (such as Anthropic and DeepSeek), dynamic tool loading from MCP servers, configurable server connections, and a chat interface that allows for tool execution.
Where to use
mcp-client-python can be used in fields such as natural language processing, AI development, and chatbot creation, where interaction with LLMs 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.
Content
MCP Client Python
Python implementation of the Model Context Protocol (MCP) client.
Features
- Support for multiple LLM providers (Anthropic, DeepSeek)
- Dynamic tool loading from MCP servers
- Configurable server connections
- Chat interface with tool execution capabilities
Installation
pip install -r requirements.txt
Usage
from mcp_client import MCPClient
# Initialize client with desired LLM provider
client = MCPClient(llm_provider="anthropic")
# Load MCP servers from config
await client.load_mcp_servers("config/servers.json")
# Start chat loop
await client.chat_loop()
Configuration
Create a .env file with your API keys:
ANTHROPIC_API_KEY=your_anthropic_key DEEPSEEK_API_KEY=your_deepseek_key
License
MIT
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.
