OtterMind/Chat2DB
A cross-platform database client and SQL workspace for more than forty databases that includes MCP support and uses a user-supplied model to generate, explain and optimise queries.
Awesome MCP › Domain-Specific Integrations
mshojaei77/ReActMCP
ReActMCP Web Search is a specialized MCP (Model Context Protocol) client designed to enhance AI assistants by integrating real-time web search capabilities through the Exa API. This project enables AI systems to perform both basic and advanced web searches, returning results formatted in Markdown for easy inclusion in AI responses. The search results include detailed information such as titles, URLs, publication dates, and content summaries, which help AI assistants provide accurate and up-to-date information to users. The project is part of the broader ReActMCP ecosystem, which connects various MCP tools and servers to empower AI assistants with diverse functionalities. ReActMCP Web Search supports advanced filtering options like domain restrictions, text inclusion requirements, and date filters, allowing for precise and relevant search results. This flexibility makes it suitable for a wide range of applications where current and reliable information retrieval is critical. Installation and setup are straightforward, requiring Python 3.8 or higher, along with dependencies such as python-dotenv and the Exa API client. Configuration involves setting environment variables for API keys and customizing MCP server settings through a JSON configuration file. The system prompt can be tailored to guide the AI assistant's tone and behavior, emphasizing friendly, engaging, and informative responses with the use of emojis. The server component listens for requests and exposes two main tools: `search_web` for basic queries and `advanced_search_web` for more refined searches. A test function is included to verify the functionality of the search tools. The project also provides guidance for integrating with platforms like Claude Desktop. Overall, ReActMCP Web Search is a powerful tool for developers looking to augment AI assistants with dynamic, real-time web search capabilities, enhancing the assistant's ability to deliver timely and contextually relevant information.
https://github.com/mshojaei77/ReActMCP
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