{"type":"mcp_client","name":"Dive","description":"Dive is an open-source, cross-platform desktop application that integrates with LLMs supporting function calling, offering features like multi-language support, API management, custom instructions, and auto-updates for seamless AI agent integration.","category":"AI","language":"TypeScript","stars":1794,"forks":39,"owner":"OpenAgentPlatform","github_url":"https://github.com/OpenAgentPlatform/Dive","homepage":null,"setup":"## Setup\n\nGet the latest version of Dive from the [latest release](https://github.com/OpenAgentPlatform/Dive/releases/latest).\n\n**For Windows users:**\n- Download the .exe version; Python and Node.js environments are pre-installed.\n\n**For MacOS users:**\n- Download the .dmg version; install Python and Node.js (with npx uvx) environments yourself; follow the installation prompts to complete setup.\n\n**For Linux users:**\n- Download the .AppImage version; install Python and Node.js (with npx uvx) environments yourself; for Ubuntu/Debian users, you may need to add `--no-sandbox` parameter or modify system settings to allow sandbox; run `chmod +x` to make the AppImage executable.\n\n**MCP Tips:**\nAdd the provided JSON configuration to your Dive MCP settings to enable Fetch and Youtube-dl tools.\n\n**Using SSE Server for MCP:**\nAdd the provided configuration to your Dive MCP settings to connect to an external MCP server via SSE.\n\n**Additional Setup for yt-dlp-mcp:**\nyt-dlp-mcp requires the yt-dlp package; install it using `winget install yt-dlp` (Windows), `brew install yt-dlp` (MacOS), or `pip install yt-dlp` (Linux).","tools":"## Available Tools\n\n1. Universal LLM Support (Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models)\n2. Cross-Platform (Available for Windows, MacOS, and Linux)\n3. Model Context Protocol (Enabling seamless MCP AI agent integration on both stdio and SSE mode)\n4. Multi-Language Support (Traditional Chinese, Simplified Chinese, English, Spanish with more coming soon)\n5. Advanced API Management (Multiple API keys and model switching support)\n6. Custom Instructions (Personalized system prompts for tailored AI behavior)\n7. Auto-Update Mechanism (Automatically checks for and installs the latest application updates)","faq":null,"created_at":"2025-01-24T00:55:50+00:00","updated_at":"2025-03-28T19:06:13+00:00","source_url":"https://model-context-protocol.com/clients/open-source-llm-function-calling-desktop","related_articles":[]}