Open MCP Client
What is Open MCP Client
Open MCP Client is a software solution designed to facilitate interactions between a user-friendly frontend interface and a robust agent backend. It utilizes various APIs to enhance functionality and streamline processes.
Use cases
The Open MCP Client can be used in applications requiring conversational AI, customer support automation, data analysis, and other functionalities that benefit from AI-driven solutions. It serves industries such as tech support, e-commerce, and any domain requiring interactive user engagement.
How to use
To get started, set up environment variables by creating .env files in the root and agent folders. Install necessary dependencies using Poetry, and run the frontend and agent concurrently or separately. Access the application through a web browser at http://localhost:3000.
Key features
Key features include a modular architecture that separates frontend and agent functionalities, easy setup with environment variable configuration, dependency management through Poetry, and simultaneous service running capabilities for development convenience.
Where to use
Open MCP Client can be deployed in web applications, customer support systems, and any scenario that benefits from AI capabilities, making it suitable for businesses looking to integrate advanced conversational AI into their platforms.
Overview
What is Open MCP Client
Open MCP Client is a software solution designed to facilitate interactions between a user-friendly frontend interface and a robust agent backend. It utilizes various APIs to enhance functionality and streamline processes.
Use cases
The Open MCP Client can be used in applications requiring conversational AI, customer support automation, data analysis, and other functionalities that benefit from AI-driven solutions. It serves industries such as tech support, e-commerce, and any domain requiring interactive user engagement.
How to use
To get started, set up environment variables by creating .env files in the root and agent folders. Install necessary dependencies using Poetry, and run the frontend and agent concurrently or separately. Access the application through a web browser at http://localhost:3000.
Key features
Key features include a modular architecture that separates frontend and agent functionalities, easy setup with environment variable configuration, dependency management through Poetry, and simultaneous service running capabilities for development convenience.
Where to use
Open MCP Client can be deployed in web applications, customer support systems, and any scenario that benefits from AI capabilities, making it suitable for businesses looking to integrate advanced conversational AI into their platforms.
Content
Open MCP Client
https://github.com/user-attachments/assets/364b6705-14d4-4e6d-bea7-fb9f12664fab
Getting Started
Set Up Environment Variables
Create a .env file at the root of your project:
touch .env
Add the following to .env:
LANGSMITH_API_KEY=lsv2_... OPENAI_API_KEY=sk-...
Next, navigate to the agent folder and create another .env file:
cd agent
touch .env
Add the following inside agent/.env:
OPENAI_API_KEY=sk-... LANGSMITH_API_KEY=lsv2_...
Set Up Poetry:
Poetry manages dependencies for the agent service. Install it with:
pip install poetry
Verify the installation by running:
poetry --version
Development
For easier debugging, run the frontend and agent in separate terminals:
# Terminal 1 - Frontend
pnpm run dev-frontend
# Terminal 2 - Agent
pnpm run dev-agent
Alternatively, launch both services together:
pnpm run dev
Visit http://localhost:3000 in your browser to view the application.
Architecture
The codebase is organized into two primary components:
- Frontend - Handles the user interface.
- Agent - Manages the core functionality.
License
Distributed under the MIT License. See LICENSE for more info.