Ai Agent With Mcp Servers
What is Ai Agent With Mcp Servers
AI-Agent-with-MCP_Servers is a project that integrates multiple MCP servers, including Playwright for automated browser control, Airbnb for data integration, and DuckDuckGo for web search functionalities.
Use cases
Use cases include automating web testing, gathering data from Airbnb listings, and performing web searches using DuckDuckGo for research or data analysis.
How to use
To use AI-Agent-with-MCP_Servers, clone the repository, install the necessary dependencies using pip or npm, configure the environment variables, and run the application using the command ‘python app.py’.
Key features
Key features include automated browser control with Playwright, data integration from Airbnb, and web search integration with DuckDuckGo.
Where to use
AI-Agent-with-MCP_Servers can be used in web automation tasks, data scraping, and integrating various web services for enhanced functionality.
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 Ai Agent With Mcp Servers
AI-Agent-with-MCP_Servers is a project that integrates multiple MCP servers, including Playwright for automated browser control, Airbnb for data integration, and DuckDuckGo for web search functionalities.
Use cases
Use cases include automating web testing, gathering data from Airbnb listings, and performing web searches using DuckDuckGo for research or data analysis.
How to use
To use AI-Agent-with-MCP_Servers, clone the repository, install the necessary dependencies using pip or npm, configure the environment variables, and run the application using the command ‘python app.py’.
Key features
Key features include automated browser control with Playwright, data integration from Airbnb, and web search integration with DuckDuckGo.
Where to use
AI-Agent-with-MCP_Servers can be used in web automation tasks, data scraping, and integrating various web services for enhanced functionality.
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 Service Integrator
This project demonstrates the use of multiple MCP servers, including Playwright, Airbnb, and DuckDuckGo search integrations.
Features
- Automated browser control with Playwright
- Airbnb data integration
- DuckDuckGo web search integration
Setup
1. Clone the repository
https://github.com/Jai-Keshav-Sharma/MCP-Orchestrator.git
cd MCP-Orchestrator
2. Install dependencies
For Python:
pip install -r requirements.txt
For Node.js (if applicable):
npm install
3. Configuration
- Copy
browser_mcp.sample.jsontobrowser_mcp.jsonand edit as needed. - Copy
.env.exampleto.envand fill in your secrets (if required).
Usage
Describe how to run your app here, e.g.:
python app.py
File Structure
app.py— Main application scriptbrowser_mcp.json— MCP server configuration.env— Environment variables (not committed).env.example— Template for environment variables
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.
