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Connect function-calling LLMs on desktop and use MCP tools seamlessly.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Dive" yet — see the docs or source repo.
Guide me to connect a local function-calling LLM in Dive and configure two MCP tools: file reading and web search. Provide setup steps, example configs, and common troubleshooting tips.
A practical setup guide with installation steps, sample configuration, and troubleshooting advice.
I want to use Dive to centralize my daily MCP tools in one desktop app, including document reading, command execution, and web search. Design a developer-friendly workflow and explain each tool’s purpose.
A clear desktop AI workflow showing how tools fit together and when to use them.
In Dive, the model can chat, but MCP tool calls keep failing. List possible causes and provide a prioritized troubleshooting checklist covering function-calling support, tool configuration, permissions, and logs.
A prioritized troubleshooting checklist to quickly identify why tool calls are failing.
Control desktop apps with LLMs via mouse, keyboard, and screenshots.
Connect SQLite to Dify Cloud so LLMs answer from real records.
Chat with AI to retrieve documents and trigger MCP-powered tools.
Connect to Dovetail data to retrieve, analyze, and summarize customer insights.
Demo MCP server for calculations, time checks, notes, and code review prompts.
Control Deepin Linux, manage files, search web, automate browsers, and use Git.