- Explore MCP Servers
- mcp-use-tutorial
Mcp Use Tutorial
What is Mcp Use Tutorial
mcp-use-tutorial is a demonstration project that shows how to create and utilize mcp-use clients for communication with MCP servers. It includes sample implementations for Gemini and Anthropic clients based on official examples.
Use cases
Use cases include developing AI applications that require querying capabilities, integrating different AI models, and testing communication protocols with MCP servers.
How to use
To use mcp-use-tutorial, clone the repository, set up a virtual environment, install the required dependencies, and configure API keys in the .env file. Then, execute the provided Python scripts to run the agents.
Key features
Key features include support for multiple clients (Gemini and Anthropic), a straightforward setup process, and the ability to communicate with local MCP servers for querying functionalities.
Where to use
mcp-use-tutorial can be used in fields such as AI development, machine learning, and software integration where communication with MCP servers 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 Use Tutorial
mcp-use-tutorial is a demonstration project that shows how to create and utilize mcp-use clients for communication with MCP servers. It includes sample implementations for Gemini and Anthropic clients based on official examples.
Use cases
Use cases include developing AI applications that require querying capabilities, integrating different AI models, and testing communication protocols with MCP servers.
How to use
To use mcp-use-tutorial, clone the repository, set up a virtual environment, install the required dependencies, and configure API keys in the .env file. Then, execute the provided Python scripts to run the agents.
Key features
Key features include support for multiple clients (Gemini and Anthropic), a straightforward setup process, and the ability to communicate with local MCP servers for querying functionalities.
Where to use
mcp-use-tutorial can be used in fields such as AI development, machine learning, and software integration where communication with MCP servers 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-use tutorial
A demo on creating and employing mcp-use clients to communicate with MCP servers
Samples are provided for Gemini and Anthropic based on the official mcp-use client examples - communicating with a local playwright server to query qoogle
Setup
Ensure python version >= 3.13 (as of when this docuement was written)
python --version
Clone repository
git clone https://github.com/balamuru/mcp-use-tutorial.git
Setup Virtual Env
Create and activate Virtual environment
cd path-to-project-root-dir python -m venv path-to-project-root-dir/venv source venv/bin/activate
Dependancies
Install dependancies
pip install -r requirements.txt
Env Variables
Set API keys in the .env file for desired agent(s)
Execute
python google-gemini-agent.pyand/orpython anthropic-agent.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.










