ReActMCP Web Search is a Model Context Protocol (MCP) server that enhances AI assistants with real-time web search capabilities. It uses the Exa API to perform both basic and advanced web searches, returning markdown-formatted results that include titles, URLs, publication dates, and content summaries.
Clone the Repository
git clone https://github.com/mshojaei77/ReActMCP.git
cd ReActMCP
Create a Virtual Environment
python -m venv venv
source venv/bin/activate # On Windows use: venv\Scripts\activate
Install Dependencies
pip install -r requirements.txt
Create a .env
file in the project root directory:
EXA_API_KEY=your_exa_api_key_here
OPENAI_API_KEY=...
The mcp_config.json
file defines the settings and available tools:
{
"websearch": {
"script": "web_search.py",
"encoding_error_handler": "ignore",
"description": "Web search capability using Exa API that provides real-time internet search results. Supports both basic and advanced search with filtering options including domain restrictions, text inclusion requirements, and date filtering. Returns formatted results with titles, URLs, publication dates, and content summaries.",
"required_env_vars": ["EXA_API_KEY"],
"active": true
},
"settings": {
"model": "gpt-4o",
"system_prompt_path": "system_prompt.txt"
}
}
The system_prompt.txt
file configures your AI assistant's behavior. You can customize this file to adjust the tone and capabilities of your assistant.
To start the MCP server:
python servers/web_search.py
This exposes two main tools:
You can test the search functionality by uncommenting the test function in web_search.py
:
if __name__ == "__main__":
import asyncio
# Uncomment the following line to perform a test search
# asyncio.run(test_search())
mcp.run()
Add this server to Claude Desktop by including in your configuration:
{
"mcpServers": {
"websearch": {
"command": "python",
"args": ["path/to/servers/exa_web_search.py"]
}
}
}
.env
file contains a valid Exa API keyTo add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "websearch" '{"command":"python","args":["path/to/servers/exa_web_search.py"]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"websearch": {
"command": "python",
"args": [
"path/to/servers/exa_web_search.py"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"websearch": {
"command": "python",
"args": [
"path/to/servers/exa_web_search.py"
]
}
}
}
3. Restart Claude Desktop for the changes to take effect