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Integrates AI assistants with Tavily's advanced web search and data extraction capabilities through the Model Context Protocol.
Enables AI agents and applications to access Mapbox's comprehensive location intelligence platform for geospatial awareness.
Generates multilingual greetings and AI-powered images using the Model Context Protocol.
Searches files for keywords, returning matching lines with line numbers and counts.
Provides a Model Context Protocol (MCP) server equipped with a versatile file search utility.
Integrate Google's Gemini API directly into Claude Desktop for enhanced AI interactions and advanced conversational capabilities.
Facilitates advanced file content searching, offering both partial keyword and exact word matching capabilities.
Integrate intelligent, natural language time tracking into Azure DevOps workflows using AI assistants like Claude.
Enables LLM-powered exploration and analysis of GitLab instances via a GraphQL-leveraging Model Context Protocol server.
Manages a full-featured bookstore server, enabling interactive book management and display through AI integrations.
Access Ethereum blockchain data, including balances, transactions, and contract information, through the Etherscan API.
Integrates FastAPI applications with Gemini CLI, exposing REST endpoints as natural language-callable tools.
Provides a secure MCP server for sending emails through the 126.com SMTP service.
Provides AI agents with a simplified protocol server for straightforward task management and execution.
Provides web search and webpage scraping capabilities through the Serper API.
Enables AI coding agents to seamlessly interface with Mnemosyne cloud knowledge graphs using the Model Context Protocol (MCP).
Exposes Nmap network scanning capabilities as callable tools through a Model Context Protocol (MCP) server.
Facilitates rapid development of Model Context Protocol (MCP) servers using the TypeScript SDK.
Provides a comprehensive Model Context Protocol (MCP) server for deep integration with TestRail's test management capabilities.
Integrate natural language interfaces with Railway.app infrastructure for service deployment, variable management, and monitoring.
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